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-aware learning methods with domain decomposition techniques, enabling parallel training and efficient GPU-supported implementation. Your tasks: Development of physics-aware ML models for 3D blood-flow
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Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding while maintaining clarity in the interpretation of results. Concurrently, AI-based methods are...
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Your tasks: Developing optimization algorithms for massively parallel hardware architectures such as AI
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., 2024; Krenz et al., 2024). MYC-driven tumors suppress anti-tumor immunity by excluding and disabling immune effector cells. In parallel, MYC rewires tumor metabolism, creating intense competition
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that generates XX males and XY female individuals (Panten 2024). In parallel, we have developed in mice a highly controlled cancer induction system using chemical carcinogenesis, which complements and deeply
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technologies Proficiency in English Experience in parallel training of large DL models is a plus While the position will be a team effort, it is a multicenter project and thus independence and capability
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classical calibration pipelines, including camera models, calibration targets, and algorithms, followed by an overview of our in-house specialized methods. In parallel, you will work in experimental setups
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to their limits, and explore how they can be used to optimize the manufacturability, efficiency (>99.9%) and LIDT > 1J/cm2 for sub-ps pulses, of the final gratings. In parallel, the fellows will be provided with
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description: The Scientific Computing Center is the Information Technology Center of KIT. The Research Group Exascale Algorithm Engineering of SCC works at the interface of algorithmics, parallel computing, and
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related in space and time and to behavioral events. Core Tasks: Getting familiar with the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for