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ideas from the lab to real-life applications, improving lives. Core Facility Flow Cytometry at Helmholtz Munich offers cutting-edge cell sorting and high end phenotyping services to support research
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oxide. These are used beyond traditional storage applications, including AI applications. To design a full memory array and use it for AI applications, high-performance peripheral circuits are needed. As
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technology. Your tasks will include: With us, you will develop, design, and implement high-performance GaN components, circuits, and modules for high-frequency applications up to 10 GHz. Your expertise will
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good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Solid programming skills in Python and familiarity with machine
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permanent position based on performance. 1. Bioinformatician Responsibilities Analysis of data sets arising from various ‘omic platforms, but heavily biased toward analysis of nucleotide sequence from
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foundation and practical experience in machine learning and reinforcement learning Experience in training and evaluation of machine learning models on large high performance computing infrastructure Existing
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) First Stage Researcher (R1) Country Germany Application Deadline 5 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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high-throughput crop modeling applications. Your qualifications: - A university degree, preferably a doctorate, in a scientific field relevant to the TUM-HEF research (e.g., agronomy, crop modelling
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Development and maintenance of undulator control system-related databases On-call duty to solve urgent issues related to the operation of the undulator systems Requirements Degree in computing science or
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ultrafast laser systems 24/7 at excellent availability. Our team focuses on the development and operation of novel ultrafast high-power laser systems covering the spectral range from ultraviolet to mid