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We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a
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Applications should include: A cover letter A copy of the PhD diploma or a letter indicating the expected defense date A detailed curriculum vitae with a complete bibliography of published works
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Applications should include: Curriculum Vitae Cover letter A copy of the PhD diploma or a letter indicating the expected defense date Copy of a publication The name, current position and
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PhD thesis. If you choose a publication with multiple authors, please also explain your own contribution Early application is highly encouraged, as the applications will be processed upon reception
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to contribute to the design and collection of future YSL waves and disseminate findings to relevant audiences. The successful candidate will join the YSL research team (two PhD students, one postdoctoral
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contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries
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workshops, seminars and conferences Supporting a small team of PhDs related to the project Publication of articles in scientific reviews and contributions to conferences Assisting with teaching activities
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Support the development of pedagogical content for MOOCs, workshops, and blended learning formats Participate in hackathons, workshops, and AI public engagement events to help transfer knowledge and foster
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education and experience but don’t tick every technical skill listed, we still encourage you to apply! We value motivation, and willingness to learn, and a passion for data systems and research infrastructure
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phenomenology; experientially taking a belief to be true when we first acquire it and if we later entertain it in thought. On our view, if a belief doesn’t seem true, it won’t be able to play a role in our