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program Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Remuneration according to TV-L, level 13 (65 %), plus annual special payment
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of microfluidic devices. Simulation for microfluidics. (CFD) High Performance Computing and/or GPU programming for this domain. Machine learning algorithms for this domain Clean energy solutions (e.g., microfluidic
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The Faculty of Engineering Sciences and the Institute of Computer Engineering (ZITI) at Heidelberg University invite applications for a Full Professorship (W3) in “Chip Design” (f/m/d) This tenured
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of the degree programme must be conducted in German and/or English. Candidates should have a strong teaching record. Knowledge of the German language is not required, but is expected to be acquired in the course
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., based on the 1D or analytical model) Hybrid simulation approach (e.g., which combine CFD and 1D simulations) High Performance Computing and/or GPU programming for this domain Machine learning algorithms
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AI4SmartCities that aims at technology transfer. The AI4SmartCities team is aimed to eventually create a spin-off company. The candidate is intended to conduct market research of AI for Smart Cities algorithms and
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enrolled in a Master’s program in plant sciences, crop science, plant breeding, or a related field. You are interested in fieldwork and data collection. Knowledge or experience with data analysis is an asset
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, providing state-of-the-art facilities and resources. YOUR TASKS: We are seeking an experienced and visionary computer scientist to lead our Bioinformatics Facility. The successful candidate will have the
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, computer science, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in Dortmund, we
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spiking neural networks Your Profile: Current master studies in physics, computer science, mathematics, electrical/electronic engineering or a related science or engineering field Strong background in