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optical probes on micro-photonic chips for submicron-scale optogenetics, the development of a neuron–computer interface system, and the use of iPSC-derived human neurons for all-optical physiology
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for collaboration with experimental groups working on physical learning in electronics, mechanics, and living flow networks (Physarum Polycephalum). For more information about our work, see: [1] Stern, Hexner, Rocks
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related to endocrinology and/or genetics (preferred); the social skills to motivate people from different backgrounds and facilitate team-work; substantial and demonstrable experience with academic writing
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from the areas of few-shot learning, continual learning and modular deep learning, as well as different LLM alignment frameworks, based on reinforcement learning and direct preference optimisation
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and verification techniques for the design of the Drag-Free Attitude and Orbit Control System of the Next Generation Gravity Mission. To achieve this goal, four different objectives must be fulfilled
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chemistry, or a closely related subject is required for this project. You have to enjoy working with optics and ultrafast lasers and have some affinity with electronics. If you have experience with one
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carrying different combinations of bacteria and phages, using mRNA, small RNA and single-cell RNA sequencing. In addition, you may also contribute to ongoing bioinformatic projects in the lab. Tasks and
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of various hydrogen generation technologies: water electrolysis (different types, alkaline, PEM, SOEC, AEM), methane pyrolysis (plasma) and system integration. Our focus in on the system integration, taking
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Institute (IvI) and which is a cross-institute collaboration at the Faculty of Science aimed at bridging the gap between modern machine learning developments and their applications to the different areas
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, and fairness attacks, as well as to increase the trust that their users have in these systems, while accounting for different phases of the AI life cycle, starting from data collection through training