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advance interoperability for single-cell and spatial omics across the scverse (Python) and Bioconductor (R) ecosystems. The project focuses on enhancing the FAIR capabilities of SpatialData , a modern
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is desirable. Basic understanding of embedded systems and processor architectures. Strong programming skills (C/C++, Python; hardware description languages such as HLS or VHDL are an advantage
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of LLMs is desirable. Basic understanding of embedded systems. Familiarity with fault detection, system reliability, or troubleshooting techniques. Strong programming skills (C/C++, Python; hardware
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) Safe Collaborative Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open
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Solid programming skills in Python Command of the mathematical foundations of machine learning (linear algebra, calculus) English at level B2 or higher (the working language is English) Desired
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(https://www.ise.fraunhofer.de/en/research-projects/pvev.html ), we are working to optimize models for PV self-consumption estimation and, on that basis, to develop an algorithm for PV feed-in upscaling
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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publications at internationally renowned venues in machine learning. Solid mathematical background, distinct analytical and numerical skills. Solid programming skills (e.g. Python, C++) Excellent ability
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of numerical methods for multi-physics application, specifically using Chimera/overset meshes and with applications to shocks Experience in programming in Python and C++, and in using scripting languages
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results Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C