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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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, computer science, medicine, 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
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-of-the-Art Infrastructure : Access to advanced sequencing, imaging platforms, and high-performance GPU computing. Research Environment : An international, collaborative, and stimulating research setting at a
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. The person will be employed at the Department of Computer Science and have access to high-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. They will
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, through the rational design and optimization of microalgae-bacteria consortia, metabolic pathway regulation, nutrient partitioning, and bioreactor performance. You will become part of an international
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the composition, physiological function, and pathophysiological relevance of Ca2+-signalling pathways in human sperm Performing high time-resolution recordings of signalling events in the sperm flagellum using
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
a single process environment Enable tunable and graded film compositions through innovative spatial integration of plasma techniques Establish high-throughput deposition and screening workflows
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formation or resorption. In the course of the present project, that is funded by the German Research Foundation (DFG), it is planned to create a biphasic organoid to enable investigations on the cellular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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materials synthesis, advanced operando characterization, and lab scale testing. We use robotic, high-throughput methods, and data science to accelerate novel sustainable materials discovery. PhD Position