Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- NTNU Norwegian University of Science and Technology
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Norwegian University of Life Sciences (NMBU)
- UNIVERSITATEA DIN CRAIOVA
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Instituto de Sistemas e Robótica (ISR)
- Monash University
- SciLifeLab
- UNIVERSITY OF VIENNA
- University of Göttingen •
- University of Münster •
- University of Vienna
- jobs.ac.uk
- 6 more »
- « less
-
Field
-
chemistry. Working with us means learning something new every day. You will be affiliated with the research project, with the working title Q4-BIO, where we open a new field of research around quantum tools
-
one year of experience in applying analysis and synthesis methods and research methodologies in computer and communications engineering or computer science. The successful candidates will contribute
-
modeling of protein dynamics We are seeking a highly motivated PhD student to join a DDLS-funded project at the interface of structural proteomics, protein biophysics, and machine learning. The position is
-
global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging
-
analyses or game theoretic analysis. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of
-
» Maritime engineering Engineering » Computer engineering Computer science Architecture » Naval architecture Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Aug
-
Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information Analytics Software Engineering for Distributed
-
engineering education. The research team consisting of eight faculty members, the Industrial Ecology Digital Laboratory, and about 70 researchers, Post Docs. and PhD students. More information can be found
-
for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research