66 parallel-computing-numerical-methods-"Prof" uni jobs at Technical University of Munich
Sort by
Refine Your Search
-
investigations carried out on the research compressor by an integrated team of LTF and an industry partner. - Numerical modelling compressor stages and carry out simulation of methods to enhance aerodynamic
-
methods (such as Machine Learning, Metric Learning, Reinforcement Learning, Graph Representation Learning, Generative Models, Domain Adaptation, etc.) for Design Automation applications. To this end, we
-
• Conduct statistical consultation for Helmholtz scientists and industry partners • Evaluate and apply novel statistical methods in the context of applied research • Write statistical reports on experimental
-
Computational Molecular Medicine, led by Prof Julien Gagneur, develops computational approaches to study the genetic basis of gene regulation and its implication in diseases. Applications of our work range from
-
, transcriptomes and epigenomes at an unprecedented level of resolution. To harness the full potential of these developments, new computational methods specifically tailored towards the analysis of single-cell omics
-
: application@mep.tum.de Technische Universität München Munich Institute of Integrated Materials, Energy, and Process Engineering Prof. Dr. Sonja Berensmeier Lichtenbergstr. 4a, 85748 Garching application
-
. Contact Prof. Holger Boche, Technical University of Munich, School of Computation, Information and Technology, Chair of Theoretical Information Technology, Theresienstrasse 90, 80333 Munich. https
-
phenomena affect electrocatalytic transformations. Duration: 3-4 years (full time); 67% TV-L E13 Prof. Hülsey is seeking candidates with: - An excellent academic track record - A master’s degree OR a four
-
efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a sustainable future. These
-
develop methods and software tools that aid the design of microfluidic devices (also known as Labs-on-a-Chip). While these devices are mainly designed manually thus far, we investigate methods