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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
focuses on studying B-cell-mediated immune responses, particularly the processes underlying B lymphocyte activation and their differentiation into effector cells, including antibody‑secreting cells and
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generation of social, computer-based, and cyber-physical systems that make a substantial contribution to the welfare of our society, for example, via embodied intelligent systems that are tailored to users
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research data management system and ontology Benchmarking state of the art materials as a baseline for the developed system Operation and further Development of an automated setup for catalyst inks and
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Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being excited to make a real impact with
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that emerged with the evolution of subsociality and controls complex interactions between parents and offspring. The project will be in close collaboration with the Sandra Steiger research group (University
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of spikes by a model Develop proxy apps representing the different processing stages of spiking network simulation code (targeting CPU and accelerators such as GPU or IPU) Systematic benchmarking of proxy
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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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(command line-based) and scripting languages such as R, Python, Unix/shell Excellent command of written and spoken English Ability to work both independently and in a collaborative, interdisciplinary
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applications for a PhD candidate focusing on the use of natural language processing (NLP) methods to advance climate impact research. The overarching goal is to develop a benchmark dataset on the socioeconomic