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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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Biological/Biomedical Sciences Engineering Medical - Research Internal Number: A-183542-26 General Description PREP Research Associate This position is part of the National Institute of Standards and
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fields such as science, engineering, medicine, social sciences, or humanities. See the Home Office guidance: https://www.gov.uk/global-talent ; It is an Innovate UK requirement that candidates hold a
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time, and believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary The appointment
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for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics, bioinformatics. Additional requirements In addition to your CV and your
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/Biotechnology/Chemistry/Biomedical Engineering with experience in mammalian cell culture. To review specific key selection criteria and mandatory qualifications required for each role, please review Position
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and external project partners Ensure timely milestone reporting and structured project documentation Your Profile: Expected: Completed PhD in Materials Science, Polymer Science, Chemical Engineering
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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vision-based platforms. You will work at Forschungszentrum Jülich, in close collaboration with bioimage analysis partners at Karlsruhe Institute of Technology. Your tasks in detail: Develop and extend deep
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Apply software engineering and documentation best practices to ensure usability and maintainability Present results at meetings, workshops, and conferences Publish findings in conference proceedings and