Sort by
Refine Your Search
-
Listed
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Lunds universitet
- Umeå University
- Uppsala universitet
- Blekinge Institute of Technology
- Linköping University
- Luleå University of Technology
- SciLifeLab
- Umeå universitet
- Högskolan Väst
- Lulea University of Technology
- Lund University
- Mälardalen University
- Nature Careers
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- University of Lund
- Örebro University
- 10 more »
- « less
-
Field
-
of physics‑informed control of mobile manipulators, data collection from real and simulated machines, and model development and testing in simulated environments. The project offers close collaboration with
-
studies of physics‑informed control of mobile manipulators, data collection from real and simulated machines, and model development and testing in simulated environments. The project offers close
-
position within a Research Infrastructure? No Offer Description Job description This project focuses on modelling, simulation, and decision support for AI-based penetration testing. A central premise is that
-
of cell factory engineering. Develop software tools that enable programmatic interaction between large language model agents and metabolic models, enabling automated simulation, interpretation, and
-
-based modeling Experience in plastic degradation or depolymerization Experience in bioinformatics, molecular modeling, or simulations Experience in experimental protein or enzyme characterization Track
-
mathematical modelling and machine learning both using simulated and real data. The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than
-
in nonlinear continuum mechanics, constitutive modeling, soft tissue modelling or finite element analysis and a passion for advancing the understanding of brain injury? Then this could be a position
-
picture recognition. Strong background in machine learning, statistical modeling, and big-data analytics. Experience with infrastructure or transportation data or traffic planning (e.g. micro-simulation
-
theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise
-
established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low-frequency and high-frequency measurement