Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- NTNU Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- Queensland University of Technology
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Wrocław University of Science and Technology
- Luxembourg Institute of Science and Technology (LIST)
- Technical University of Munich
- VIB
- Blekinge Institute of Technology
- California Institute of Technology
- Chalmers University of Technology
- Foundation for Research and Technology-Hellas
- Luxembourg Institute of Science and Technology
- Monash University
- Mälardalen University
- Norwegian University of Life Sciences (NMBU)
- Silesian University of Technology
- Singapore University of Technology & Design
- Swedish University of Agricultural Sciences
- Tilburg University
- University of Birmingham
- University of Warwick
- Wageningen University & Research
- 16 more »
- « less
-
Field
-
, structure preserving deep learning, stochastic differential equations, generative AI, numerical optimization. Strong programming skills (Python, Julia, Jax). Experience with numerical optimization is also
-
. Experience in mechanical testing Experience with programming in Python or Matlab Strong analytical and problem-solving skills Excellent oral and written presentation skills in English The appointment is to be
-
. Demonstrable experience with data processing, signal analysis and programming (e.g. Python/Matlab). Ability to work independently as well as in a multi-disciplinary team. Fluent in English (oral and written
-
meet the requirements for admission to the faculty's doctoral programme in Engineering Cybernetics . Strong programming skills, in particular Python, and practical experience with modern machine learning
-
, Python, or a similar programming language. English language skills, both written and spoken, corresponding to the scale C1 in the Common European Framework of Reference for Languages (CEFR). See which
-
-forming protein biology In vitro reconstitution and lipid bilayer systems Biosensor development or biology–electronics integration Basic programming skills (Python or similar) Familiarity with protein
-
preferably in Rust or Python; practical experience with Python-based machine learning frameworks (e.g. PyTorch) is preferred. A motivated, creative, and self-driven working style with the ability
-
-forming protein biology In vitro reconstitution and lipid bilayer systems Biosensor development or biology–electronics integration Basic programming skills (Python or similar) Familiarity with protein
-
(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
-
mathematical/statistical modelling and programming (e.g. Python, MATLAB, or similar). A research-oriented attitude and strong motivation to deliver ambitious, high-quality work. Ability to work in an