Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Carnegie Mellon University
- University of Oslo
- Radix Trading LLC
- Barnard College
- California Institute of Technology
- Imperial College London
- NTNU - Norwegian University of Science and Technology
- National University of Singapore
- Pennsylvania State University
- Purdue University
- Singapore University of Technology & Design
- University of North Texas at Dallas
- University of South-Eastern Norway
- University of Texas at El Paso
- Wayne State University
- 5 more »
- « less
-
Field
-
assistants in all aspects of their work - subject recruitment, coordination, and communication - writing IACUC and IRB protocols - organizing data collection, performing and cross-checking data coding, and
-
merging of complex datasets. Support qualitative data analysis of interview transcripts with Directors of Nursing, including coding, theme development, and interpretation (training provided as needed
-
, failure modelling of fibre-reinforced composites using FEM, use of Artificial Intelligence for surrogate models An interest or experience with structural optimisation Experience in scientific coding (e.g
-
Salary in accordance with the Norwegian State salary scale for PhD research fellows (position code 1017) NOK 550,800. In special cases, code 1378 may be used. Any further increases in pay grade will be
-
of relevant experience. Must have extensive expertise in computational modeling, including strong coding skills in Python. Strong statistical and mathematics background. Preferred Qualifications Merkin Bridge
-
position as Researcher (position code 1109) in salary range NOK from 620 000 to 720 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State
-
relevant experience Curriculum vitae or résumé including academic background and any prior research or project experience (Optional) Code samples, GitHub profile, or links to prior projects
-
models and coding agents establishing metrics that help organizations understand their use of AI in development and guiding them through improvements identifying gaps in AI workflows that result in
-
models and coding agents establishing metrics that help organizations understand their use of AI in development and guiding them through improvements identifying gaps in AI workflows that result in
-
models and coding agents establishing metrics that help organizations understand their use of AI in development and guiding them through improvements identifying gaps in AI workflows that result in