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motivated and enthusiastic candidate with a strong background in physics, chemistry or related field who wants to pursue cutting-edge research oriented towards direct clinical applications. Required
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and passionate working in an interdisciplinary field and fulfill the following criteria: Completed Master's degree in biomedical engineering, physics or similar Have strong hands-on lab skills Have some
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the area of large-scale additive manufacturing for architecture. Project background You will work on the “Digital Process Chain for Hollow Core Extrusion” project in collaboration with the Computational
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. Please note that this is a separate application process necessary to be eligible to complete your PhD at EPFL. Application Materials Required: Submit the following items online at this website to complete
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capabilities for healthcare applications. Profile MSc background in Chemistry, Physics, Materials Science, Nanoscience & Nanotechnology, or related fields. Strong verbal and written communication skills in
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degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in Mathematics, Statistics, Physics, or other quantitative discipline
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(e.g. chemical recycling). Additionally, your research will explore feedback loops between process advances (such as catalyst or solvent development) and the overall sustainability transition
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contribute to teaching activities and the supervision of student projects. Profile Required Qualifications: A Master's degree (MSc) in geodesy, geosciences, computer science, physics, or a closely related
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change. The position is expected to start in June 2025 and is fully funded for 4 years. Project background Debris flows are both a significant geomorphic process and a major hazard, threatening communities
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everything, from the bit transmissions at the physical layer to the market incentives for network deployment and pricing. Job description Our approach to sustainable networking is primarily applied and