Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- University of North Carolina at Chapel Hill
- Leibniz
- Chalmers University of Technology
- Technical University of Munich
- The Ohio State University
- Virginia Tech
- Forschungszentrum Jülich
- Oak Ridge National Laboratory
- Princeton University
- WIAS Berlin
- ;
- Argonne
- BRGM
- Baylor College of Medicine
- CNRS
- Case Western Reserve University
- Central China Normal University
- Chinese Academy of Sciences
- Cornell University
- Duke University
- Durham University
- European Space Agency
- Fudan University
- Johann Radon Institute for Comp. and Applied Mathematics
- King Abdullah University of Science and Technology
- Los Alamos National Laboratory
- National Aeronautics and Space Administration (NASA)
- New York University
- Purdue University
- Technical University of Denmark
- Texas A&M University
- UNIVERSITY OF SYDNEY
- University of Arkansas
- University of Lund
- University of Maine
- University of Minnesota
- University of Minnesota Twin Cities
- University of Texas at Arlington
- University of Virginia
- Western Norway University of Applied Sciences
- 32 more »
- « less
-
Field
-
applications as Research Assistant Position (f/m/d) (Ref. 25/10) in the Research Group “Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is
-
uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
-
Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
-
algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
-
theoretical models and methods as well as in implementing numerical optimization techniques Interest in working closely with experimentalists Detailed knowledge of quantum physics and experience with quantum
-
Associate with mathematical modelling and numerical/data analysis background to join our food system resilience project, led by University of Reading, joining a large interdisciplinary team with an excellent
-
Your Job: Development and optimization of high-temperature heat pipes for fusion applications Numerical simulations of heat transfer and fluid dynamics in heat pipes using COMSOL, ANSYS, or similar
-
optimizing simulation tools such as CalPhad to support experimental findings. Conducting in-depth metallographic analysis and establishing correlations between mechanical properties and microstructural
-
advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more of the following research areas: Development of efficient numerical linear
-
machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run