Top 101 Algorithm quantum algorithm quantum algorithm quantum physics algorithms Jobs

Postdoctoral Fellow (PREP0004388)
Johns Hopkins University —Gaithersburg, MD
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3d
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Computational Scientist – Metasurfaces, Photonics, and Inverse Design
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Tenure-Track Faculty Position in Quantum Computing
Colorado School of Mines —Golden, CO
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- Paid holidays
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Computational Scientist in the Artificial Intelligence for Science (AIScience)
Princeton Plasma Physics Laboratory —Princeton, NJ
- $163,600 - $261,400 a year
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Product Manager, CUDA-Q
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Senior Machine Learning Engineer – Engineering Intelligence Systems
Keysight Technologies, Inc. —Calabasas, CA
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Senior Technical Advisor – Unconventional Computing & Emerging Information Systems
Everforth ECS —Arlington, VA
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Financial Accountant
Terra Quantum —San Francisco, CA
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Senior Quantum Applications Architect
Microsoft —Redmond, WA
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Lead Quantum Device Theorist
Rigetti Computing —Fremont, CA
- $195,000 - $225,000 a year
- Full-time
- 5 years
- Doctor of Philosophy
- Senior level
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Quantum computation and atomic/molecular physics postdoc
Los Alamos National Laboratory —Los Alamos, NM
- Email
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Underwater Acoustics Modelling and Evaluation Engineer II
Raytheon Technologies Corporate Headquarters —Middletown, RI
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- Full-time
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Senior Staff Research Scientist, Quantum Error Correction, Quantum AI
Google —Goleta, CA
- $262,000 - $365,000 a year
- Full-time
- Computer science
- Computer Science
- Doctor of Philosophy

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Postdoctoral Fellow (PREP0004388)

Johns Hopkins University -
Gaithersburg, MD

Apply Now

Job Details

Full-time
$82,000 - $85,000 a year

Benefits

Health insurance

Qualifications

AI models
Statistics
Posters
Computational research
Academic research projects
Statistics
Chemistry research
Applied Mathematics
Conference papers
R
In silico prediction
Scientific posters
Classification (ML)
Mathematics
Computational modeling
Theoretical research
Collaborative research
Math
Improving predictive model accuracy
Technical research projects
Software development
Mass spectrometers (MS)
Participating in conferences
Data science
Senior level
AI
Communication skills
Python
Statistical analysis tools
Data Science

Full Job Description

PREP Research Associate
CHIPS Funded Project.

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.

Research Title:

Research Staff

The work will entail:

The position is for a postdoctoral associate level researcher interested and experienced in applied mathematics, statistics or data science to work jointly with NIST research scientists and mathematicians to participate in a research project involving the characterization and modeling of properties and spectra of PFAS chemicals with the goals of improving detection of PFAS compounds, replacing PFAS in plasma etching processes, or identifying solid adsorbent additives to remove PFAS. To accomplish these goals, the candidate will participate in the development of mathematical, statistical and AI/ML algorithms for the prediction of chemical properties, infrared and mass spectra, and ionization cross sections, incorporating uncertainty quantification (UQ) into approaches and providing useful information in aid of models to discern patterns in physical properties. The position will be highly interdisciplinary, requiring regular communication between chemists, computer scientists and mathematicians working on modelling

these compounds using experimental as well as data from chemistry/physics calculations/simulations.

U.S. Citizen Preferred

Key responsibilities will include but are not limited to:

Developing novel algorithms for the prediction of physical and chemical properties, infrared and mass spectra, and ionization cross sections using data derived from experiment and computation.
- Implementing algorithms to study the performance of classification models.
- Assessing uncertainty in prediction and classification of experimental data as well as data sets derived from quantum chemistry and physics calculations and simulations.
- Computationally testing models with respect to accuracy and uncertainty quantification.
- Developing software to implement the goals stated above (most likely in Python or R).
- Disseminating results through posters/seminars at international meetings and university
seminars.
- Ensuring that all results, findings, data, software, etc. are correctly archived and transmitted
through appropriate channels

Â§ An advanced degree in a scientific/mathematical/statistical area.

Â§ Familiarity with applied science and numerical work

Â§ Ability to work with a multi-disciplinary research team

Â§ Strong oral and written communication skills.

Salary Range
The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

Total Rewards
Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/ .

Equal Opportunity Employer
The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. The University is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved.

Pre-Employment Information
If you are interested in applying for employment with Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at [email protected] . For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations at Johns Hopkins University for disabilities, medical conditions (including medical conditions related to pregnancy or childbirth), accessibility, or religious reasons, please visit accessibility.jhu.edu .

Background Checks
After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidateâ€™s conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought.

EEO is the Law
https://www.eeoc.gov/employees-job-applicants

Vaccine Requirements
Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. We still require all faculty, staff, and students to receive the seasonal flu vaccine .

Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for SOM) requirement(s) may be provided to individuals with sincerely held religious beliefs or medical conditions that preclude them from receiving the vaccine. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/ .

The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information.

The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those candidates who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

Apply Now

Refine Your Search

algorithm quantum algorithm quantum algorithm quantum physics algorithms jobs

Postdoctoral Fellow (PREP0004388)

Research Associate-Fixed Term

Research Associate - Attosecond Electron Motion

Senior Quantum Computing Libraries Engineer

Principal Quantum Applications Architect - Cryptography

Quantum Computing Measurement Engineer

Sotware Engineer II

Senior Software Engineer

Computational Scientist – Metasurfaces, Photonics, and Inverse Design

Tenure-Track Faculty Position in Quantum Computing

Computational Scientist in the Artificial Intelligence for Science (AIScience)

Product Manager, CUDA-Q

Senior Machine Learning Engineer – Engineering Intelligence Systems

Senior Technical Advisor – Unconventional Computing & Emerging Information Systems

Financial Accountant

Senior Quantum Applications Architect

Lead Quantum Device Theorist

Quantum computation and atomic/molecular physics postdoc

Underwater Acoustics Modelling and Evaluation Engineer II

Senior Staff Research Scientist, Quantum Error Correction, Quantum AI

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