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Field
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Engineering Laboratory has a long-standing research program in the engineering of ex situ organ perfusion systems, developed as part of the interdisciplinary Liver4Life project in collaboration with
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. Scalable AI training: distributed training, efficient fine-tuning, evaluation, and deployment on large-scale compute. Multimodal learning: representation learning and generative modeling across heterogeneous
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, outreach, lab activities) within our research group and department Work will be conducted in parallel with a sister study in the Canadian Rocky Mountains (a similar position is being advertised at McGill
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several projects moving in parallel. You communicate clearly in English, in writing and in negotiation. German is a plus, not a requirement. Workplace Workplace We offer A role with genuine ownership. You
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Doctoral Position in
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efficient inference. Experience with GPU computing and high-performance or distributed computing environments. Exposure to planning, scheduling, workflow engines, or reasoning systems, and to scientific
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parallel to the thriving fields of soft devices and robots controlled by electrical signals, soft optics is emerging as a new platform that uses the modulation of light in soft matter to encode
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and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and
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-spherical particles (known as colloidal quantum dots). However, even state-of-the-art nanocrystal samples contain distributions in particle size and morphology that limit their optical performance. Two
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(known as colloidal quantum dots). However, even state-of-the-art nanocrystal samples contain distributions in particle size and morphology that limit their optical performance. Two classes