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lab members, the group's organoid/tissue-engineered infection models (airway, gut) to prioritize physiologically relevant hits Co-supervise PhD students and contribute to method development, data
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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are especially interested in candidates with a PhD in Materials Science, Chemistry, Physics, Chemical Engineering, or a related field, and with a solid experimental background in organic semiconductors, polymer
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North Carolina coastal and estuarine environments. Experience with coastal engineering theories and analyses. Experience in ecological and drone-based remote-sensing monitoring assessments of living
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of values and ethics. Collaborate within a multi-disciplinary research environment consisting of experimentalists, computational scientists, and engineers conducting basic and applied research in support of
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www.tudelft.nl/ewi/ese Job requirements Who are we looking for? You have a PhD degree in Electrical Engineering or a related engineering discipline from a well-established university with a proven record for
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department (GRS) working closely with PhD researchers, postdocs, and professors in an open and collaborative environment, where you will receive full support and training to grow in your career. This project
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. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You
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for curious, ambitious, collaborative scientists who enjoy asking difficult biological questions. Applicants from diverse scientific and engineering backgrounds are encouraged to apply, including and not
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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has