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generations to come. Join Roche, where every voice matters. The Position This job posting is for the role of Junior Group Leader in Computational Biology. We are looking for an innovative scientific mind
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Professor towards Associate Professor in AI-oriented Computational Biologywith applications to Image Analysisor to Computational Molecular Evolution Starting date : 2025-26 Place : Lausanne, Switzerland
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. We seek individuals who will develop and lead a research program at the forefront of the discipline and who will also be committed to excellence in undergraduate and graduate teaching. Approaches
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exceptional individuals who will develop and lead a research program at the forefront of the discipline and who will have a strong commitment to excellence in undergraduate and graduate-level teaching. We look
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conditions. We seek individuals who will develop and lead a research program at the forefront in the broad area of neuroscience. Successful applicants will join a faculty working in areas such as cellular
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member of the School of Basic Sciences, the successful candidate is expected to initiate and develop a creative research program at the forefront of the discipline. Significant start-up resources, research
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The Department of Mechanical and Process Engineering (D-MAVT, www.mavt.ethz.ch) at ETH Zurich invites applications for the above-mentioned position. The new professor is expected to contribute to the fundamental theoretical, technological and interdisciplinary development of disciplines related...
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international campus with world-class infrastructure, including high performance computing. EPFL covers a wide spectrum of science and engineering and offers a fertile environment for research and cooperation
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institution fostering excellence and diversity. It has a highly international campus with world-class infrastructure, including high performance computing. The EPFL environment is multi-lingual and multi
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Developmental Medicine will probe and integrate multi-omic data sets (i.e. genetic, epigenetic, transcriptional and metabolomic data) to create computational models defining the molecular signatures underpinning