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#1 in the UAE by the Nature Index for high-quality research output while offering a stimulating research environment led by a distinguished research community and supported by state-of-the-art research
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to appoint a Post-Doctoral Associate starting September 1, 2024. The successful applicant will conduct population genomics analyses on a wide diversity of organisms studied in the lab, including vertebrates
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University Abu Dhabi (NYUAD) invites applications from individuals to be appointed as a Post-Doctoral Associate for a one-year period, renewable each year. The ideal candidate will commit to work on the
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Emirates Application Deadline 1 Jun 2024 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Division of Science at New York University Abu Dhabi is inviting applications for one fully
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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isothermal titration calorimetry (ITC). The appointment is for a one-year, renewable term, starting on August 1st, 2024. The employment terms are competitive and include a tax-free salary plus housing and
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neurological conditions. The successful applicant will drive a fascinating project on one or more of these major themes. This will involve planning and executing experimental research with human participants
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Researcher (R3) Country United Arab Emirates Application Deadline 1 Jun 2024 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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Associate in Astrophysics, in the Center for Astrophysics and Space Science (CASS). The position is offered for a period of 2 years (1 year with an additional year depending on performance). Competitive