Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- University of Oslo
- Uppsala universitet
- University of Southern Denmark
- Aalborg University
- Forschungszentrum Jülich
- Fritz Haber Institute of the Max Planck Society, Berlin
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- The University of Chicago
- The University of Manchester
- Umeå University
- 1 more »
- « less
-
Field
-
, linear algebra, and statistical modelling Demonstrated proficiency in programming (e.g., Python, PyTorch/JAX, or similar) Strong interest in method development Fluent oral and written communication skills
-
, thoroughness, and a structured approach to problem-solving. Strong foundations in linear algebra, probability theory, and calculus are required. Solid skills in programming and machine learning are required
-
, linear algebra, and statistical modelling Demonstrated proficiency in programming (e.g., Python, PyTorch/JAX, or similar) Strong interest in method development Fluent oral and written communication skills
-
research ideas, and to have solid mathematical foundations, such as in linear algebra and relational algebra, to support the design and analysis of your algorithms. You should be curious, motivated, able
-
discipline prior to enrolment. The successful candidate should demonstrate: Strong programming skills (e.g. Python, C++ or similar) Solid foundation in linear algebra, geometry, and optimisation Experience
-
– derivatives, wave functions, linear algebra, differential equations, numerical optimization. Some background in solid-state physics, optics, electrical engineering, chemistry, and/or materials science
-
The Master project should treat methodological aspects with mathematical tools. The candidate must show a strong interest in method development. Proven competence in probability, linear algebra, and
-
. The candidate must show a strong interest in method development. Proven competence in probability, linear algebra, and statistical modelling are essential for this position. Demonstrated strong proficiency in
-
/ TensorFlow / Scikit Learn Highly knowledgeable in mathematical and statistical concepts Solid foundation in mathematics for Machine Learning (Linear Algebra, Probability, Optimization). Proficient in English