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analysis Thermal integrity in 2.5D packaging Advanced design technology co-optimization Parasitic extraction for large cells Area-selective deposition for nanoscale structures ...and more! By bridging
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(Montanuniversität Leoben - MUL, Austria) DC6: Compositional footwear analysis: Compositional analysis and optimized treatment pathways (Technical University of Denmark - DTU, Denmark) DC7: Compositional sorting
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rollout of eLabJournal in the lab and further optimize the usage (write SOPs, experiment templates, optimize databases Quality Control and Safety Monthly audits of databases and physical stocks Weekly
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on algorithmic and application research in the domain of AI and scientific simulations to drive SW-HW-Technology co-optimization and develop novel ML/Hybrid-AI methods for semiconductor processing and health
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the manufacturing process allowing for a faster and more precise optimization trough virtual engineering. You will work within a research team comprising two other researchers dedicated to this project
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the manufacturing process allowing for a faster and more precise optimization trough virtual engineering. You will work within a research team comprising two other researchers dedicated to this project
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validation of breakthrough concepts and driving innovation in system and design-technology co-optimization (STCO/DTCO). What you will do Lead the architecture, design, and development of silicon demonstrators
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advanced causal inference, robust counterfactual simulation, and protocol optimization analytics. Key tasks include developing emulation engines, establishing regulatory-grade validation pipelines, and
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cell biology, and neurodegeneration. Contribute to the setup and optimization of novel xenotransplantation models. Collaborate across VIB (GIBA and MIND labs, amongst others) and international partners
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generative AI algorithms and translate them into intuitive explanations. Interest in cyber-physical systems (CPS) and eco-cognition modeling. Good understanding of mathematical optimization techniques