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programming skills in R and/or Python; experience with shell scripting. Hands-on experience with sc/snRNA-seq analysis tools (e.g., Seurat, Scanpy, Cell Ranger). Familiarity with high-performance computing
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the supervision of the immediate supervisor the Research Assistant will assist with the design and execution of neuroscience experiments (in vitro or in vivo), perform routine laboratory procedures (e.g., animal
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signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis
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: Post-Doc in the area of AI-based solutions for high-level decision-making for robotic systems. Development, testing and evaluation of the co-planner assistant for operation of harvester machine
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in advanced firmware design for state-of-the-art FPGA architectures. The role involves working with industry-standard tools (e.g., Intel Quartus or AMD Vivado, Modelsim/Questa), implementing high-speed