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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
sound knowledge of statistics, machine learning, image analysis, or spatial data analysis The ability to assess algorithms and models not only from a technical perspective, but also in terms
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Systems At the Institute of Climate and Energy Research – Energy Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimising decentralised, integrated energy
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Responsibilities Conduct research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation
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include developing algorithms for ultra-fast force feedback and providing open SDKs and APIs for developers. Your Responsibilities Requirements Analysis: Assist in gathering requirements and translating
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
. Experience in machine learning algorithms and tools. Experience in microscopy and image analysis. Effective collaboration in interdisciplinary teams. Strong analytical reasoning and persistence in experimental
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power electronic systems – from innovative assembly, interconnection, and cooling concepts to advanced circuit topologies and intelligent control algorithms. The use of wide-bandgap power semiconductors
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, you will investigate multi-beam generation Finally, you will program a scan-vector decomposition algorithm The objectives of the project will be tailored to your skills and preferences What you
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 2 months ago
the development of custom AI-powered solutions, and promotes robust evaluation and benchmarking practices for imaging algorithms. As an engineering and support unit, ACVL plays a central role in translating
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modeling and simulation • Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods) • High-dimensional algorithms and high-performance computing