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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 6 hours ago
Posting Description COMPUTATIONAL BIOLOGY PROGRAM SCIENTIST, Institute for Medical Engineering and Science - Lieberman Lab, will be instrumental in building and maintaining robust computational
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in Organismal Biology BIOL 432 Limnology BIOL 465 Conservation Biology Estimated Number of Positions: 100 Total Hours of Work per Term: 45-180 Position Summary: See the job descriptions at: https
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molecular biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular Biology, Molecular Biophysics, Molecular Evolution, Molecular Systems Biology and Structural Biology. The
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pathologies. The work will be carried out within the “Computational Biology” team led by Bianca HABERMANN. As the laboratory is composed of members of various nationalities, fluency in English is essential
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IGB - CNR: Institute of Genetics and Biophysics Adriano Buzzati-Traverso | Italy | about 13 hours ago
22 Apr 2026 Job Information Organisation/Company IGB - CNR: Institute of Genetics and Biophysics Adriano Buzzati-Traverso Research Field Biological sciences » Biology Researcher Profile Recognised
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IGB - CNR: Institute of Genetics and Biophysics Adriano Buzzati-Traverso | Italy | about 13 hours ago
22 Apr 2026 Job Information Organisation/Company IGB - CNR: Institute of Genetics and Biophysics Adriano Buzzati-Traverso Research Field Biological sciences » Biology Researcher Profile Recognised
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job Description DEPARTMENT OF BIOLOGY Research Assistant Professor (25260640) A Research Assistant
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semesters; sick and personal business leave; and a comprehensive Adjunct Faculty Development Program. The pay rates are aligned with the terms outlined in the collective bargaining agreement. https
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available1Company/InstituteInstitut de biologie structuraleCountryFranceCityGRENOBLEGeofield Contact City GRENOBLE Website http://www.ibs.fr/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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quantitative and machine learning approaches ● Developing predictive models linking nuclear features to future cell fate ● Interacting with collaborators in imaging, computational biology, and developmental