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these languages, are mandatory. Submission site link: https://crp.dsv.su.se/df-postdoc-call/ Eligibility To be eligible, applicants must have: A doctoral degree or an equivalent foreign degree. If you have had
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Applications are invited for a 3-year postdoc position in the field of RNA synthetic biology at the Department of Molecular Biology and Genetics, Aarhus University, Denmark. The position is part of
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and to create the conditions for further acquisitions of qualifications after completing the doctoral degree. The position is a temporary employment of maximum 3 years. As a PostDoc you will carry out
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Researcher (R2) Positions Postdoc Positions Application Deadline 1 Apr 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Not Applicable Offer Starting Date 19 Mar 2026 Is
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group members' research. You may contribute to funding applications and scientific meetings within the project. Eligibility To be eligible for appointment as a postdoc, the applicant is required to have a
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measurement technique development, atmospheric modelling, and advanced methods for integrating observational and model data through data assimilation and machine learning. About the research project The overall
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Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 3 May 2026 - 00:00 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is
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Applications are invited for a 3-year postdoc position in the field of RNA synthetic biology at the Department of Molecular Biology and Genetics, Aarhus University, Denmark. The position is part of
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Researcher (R2) Positions Postdoc Positions Application Deadline 8 May 2026 - 23:59 (Europe/Brussels) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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consideration will be made to candidates with experience in automation or machine learning. The postdoc will join a group which is focused on pioneering applications of modern machine learning methods, FAIR data