667 postdoc-position-in-nanomaterials Postdoctoral research jobs at Università degli Studi di Napoli "Federico II"
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: The Catalan Institute of Nanoscience and Nanotechnology (ICN2) is currently seeking a highly motivated PostDoc to join Prof. Jordi Arbiol's group. The focus of this position will be on atomic scale scanning
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and between Urban Positive Energy Districts (UPEDs). The Positive Energy District Digital Twinning (PEDi-Twins) project is performed by a PostDoc researcher and a Research Software Engineer that will (1
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, where innovative ideas and creative people grow. The postdoc position is placed at the Division of Industrial Biotechnology , which is highly international and counts ~ 40 members. Research activities
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teams is meritorious. To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with
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and there will be opportunities to learn new skills throughout the project. Demonstrated experience in working in international teams is meritorious. To qualify for the position of postdoc, you must
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for the candidate selection. To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with
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group starting September 1st or upon agreement. These positions will explore enhancer regulation in response to FGF/ERK signaling as a means to understand how transcription factors interface with
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journals or conferences within the field is also required. Strong verbal and written communication skills in English are essential. To qualify for the position of postdoc, you must hold a doctoral degree
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Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen A postdoc position is available at the Department of Plant and Environmental Sciences. The postdoc will
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exciting opportunities for machine learning to address outstanding biological questions. The postdoc to be recruited will be working on the development of machine learning methods for single-cell data and