Sort by
Refine Your Search
-
Country
-
Employer
- Carnegie Mellon University
- University of Oslo
- Radix Trading LLC
- Barnard College
- 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 Texas at El Paso
- Wayne State University
- 2 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
-
Qualifications Qualification requirements Appointment to the position of researcher in position code 1109 requires a doctoral degree (or equivalent) in a relevant field (e.g., medicine, biology, molecular/cellular
-
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
-
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
-
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
-
Painting, transcriptomics, and proteomics for toxicity assessment. In VISTA, we aim to systematically and scalably uncover disease phenotypes and drugs that can reverse them for disease caused by coding
-
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