Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- University of Oslo
- Uppsala universitet
- NTNU - Norwegian University of Science and Technology
- Radboud University
- University of Southern Denmark
- Aalborg University
- Christian-Albrechts-Universitaet zu Kiel
- Ecole Centrale de Lyon
- Faculty of Science University of Zagreb
- Forschungszentrum Jülich
- Fritz Haber Institute of the Max Planck Society, Berlin
- Humboldt Universität zu Berlin / Leibniz Universität Hannover
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- KU LEUVEN
- Leibniz University Hannover
- Max Planck Institute for Mathematics •
- NTNU Norwegian University of Science and Technology
- Newcastle University;
- Ruhr-Universität Bochum •
- Technical University of Denmark
- Technische Universität Berlin •
- The University of Chicago
- The University of Manchester
- Umeå University
- University of Bonn •
- University of Newcastle
- Université Toulouse Capitole
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- 20 more »
- « less
-
Field
-
knowledge of mathematics (e.g. linear algebra, probability, statistics, stochastic processes) Experience of developing in larger projects While we don’t expect applicants to know biology, applicants
-
mechanical engineering, aerospace engineering or a related field. The candidate must have proven experience in numerical simulation in fluid mechanics and/or aeroacoustics; strong background in linear algebra
-
candidate must have a proven experience in numerical simulation in fluid mechanics and/or aeroacoustics, as well as strong skills in linear algebra and signal processing. Website for additional job details
-
well as strong skills in linear algebra and signal processing. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR3346-NADMAA-158/Default.aspx Work Location(s) Number of offers
-
related field. The candidate must demonstrated experience in numerical simulation in fluid mechanics and/or aeroacoustics; strong expertise in linear algebra and signal processing. Website for additional
-
foundations in linear algebra, calculus, optimization, probability, and statistics for machine learning. Expertise with ML/deep learning frameworks (PyTorch, TensorFlow), libraries (scikit-learn), and
-
topology of the network influence the strain energy functions that can be used to describe their behaviour on the macroscale. We will combine techniques from discrete calculus, linear algebra and finite
-
, 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
-
the areas of operator algebras, analytic group theory, and/or noncommutative harmonic analysis. Excellent command of the English language, both written and spoken (minimum level C1, documentation not required
-
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