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The Faculty of Science invites applications for a POSTDOCTORAL RESEARCHER IN MACHINE LEARNING FOR NATURE CONSERVATION starting from August 2025 or as agreed. The Postdoctoral Researcher will be
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strong publication record and a solid background in computational RNA biology, particularly in alternative splicing regulation, are our top priorities. Expertise in machine learning and human omics data
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, are our top priorities. Expertise in machine learning and human omics data analysis is highly advantageous. The ideal candidate should demonstrate a high level of independence while also valuing
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-related salary element. Our requirements a PhD in environmental sciences, geography, hydrology, remote sensing, ecology, or a related field; the doctoral degree may not have been completed more than five
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applying tools from computer simulations and machine learning. The position is fixed-term and the starting time is 01.06.2025, or as soon as possible thereafter, based on mutual agreement. The contract
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, are our top priorities. Expertise in machine learning and human omics data analysis is highly advantageous. The ideal candidate should demonstrate a high level of independence while also valuing
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encourage qualified candidates from all backgrounds to join our community. The together and with passion, we research, teach, develop and create solutions targeting social need and shaping a safe and
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postdoctoral funding sources. QUALIFICATIONS AND EVALUATION We are looking for a candidate with a PhD degree within the fields of marine biology, marine ecology, oceanography or aquatic ecology. The candidate