27 phd-in-vlsi-design Postdoctoral research jobs at Delft University of Technology (TU Delft)
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-efficient artificial intelligence (AI) applications. However, this new computing paradigm faces various design challenges in terms of design and technology challenges, application mapping and reliability
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. However, these new technologies and computing paradigms face various design challenges in terms of design and technology challenges, application mapping and reliability and non-ideality issues. Thus
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of robotics design in the Netherlands and beyond. Job requirements We are looking for an ambitious, independent, and collaborative postdoctoral researcher with: A PhD in Industrial Design, Human–Robot
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produced in a responsible way. This ambitious endeavor should also include dialogues with society, a dedicated approach for responsible innovation as well as philosophical reflections on our understanding
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in extreme space environments. Main Tasks: Surface Chemistry Development: Design and optimize chip surface chemistry for target biomolecules including amino acids, nucleobases, and lipid biomarkers
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ranked (and most comprehensive) research, education and innovation communities devoted entirely to aerospace engineering. More than 200 science staff, around 270 PhD candidates and close to 3000 BSc and
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techniques, explore technical, economic, and operational trade-offs, and create decision-support tools to help stakeholders design effective and adaptive flood risk management strategies. This work will be
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well as collaborate with PhD candidates. You'll design experiments using our robotic platform, analyze tactile data patterns, implement real-time control algorithms, and validate performance across diverse scenarios
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fosters an inclusive, international culture. Requirements PhD in physics, quantum information science, mathematics, or a related field. Strong background in quantum physics, mathematics, and quantum
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prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety. Validation of models by benchmarking with cell and system level measurements