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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
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, manufacturing, energy systems, as well as sensors, actuators, and control architectures that are particular to the mechanical and process engineering disciplines. Successful candidates should hold a PhD degree or
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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
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, as well as sensors, actuators, and control architectures that are particular to the mechanical and process engineering disciplines. Successful candidates should hold a PhD degree or equivalent in
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and simulation of coupled T-H-M-C processes in clay based engineered barrier systems. Experience with numerical algorithms (also open source) for 1D/3D simulations is expected. You have a strong
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postdoctoral researcher, your responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling
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100%, Zurich, fixed-term The Sensing, Interaction & Perception Lab invites applications for a PhD position in Computational Interaction, focusing on sensor-based input detection for Augmented and
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, multi-objective optimisation (e.g., genetic algorithms), gait analysis/biomechanics. Proven track record in deploying machine learning models into production (preferred) Proficiency in programming in
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generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational
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people over Technical understanding and affinity for operating complex systems, ideally in the fields of robotics, sensor technology, or maritime technologies Flexibility and ability for spontaneous