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to make a meaningful impact? Natural Sciences (Physical Sciences) - Postdoc Fellows E-STEEM Call 2026 174 Research Services and Career Development Startdate: 01.10.2026 | Working hours: 40 | Collective
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Requirements: PhD qualification degree in Aerospace Engineering, Transport, Computer Science, or other related fields. At least three (3) years of relevant research experience in air traffic management
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the desire to make a meaningful impact? Natural Sciences (Physical Sciences) - Postdoc Fellows E-STEEM Call 2026 174 Research Services and Career Development Startdate: 01.10.2026 | Working hours: 40
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of this programme. The profile PhD in computer vision, computational biology, physics or a related discipline Demonstrated expertise in image analysis and working with large-scale imaging datasets Strong expertise in
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Acknowledgment of Country Australia's Chief Scientist and the Office of the Chief Scientist recognise the first peoples of this nation and their ongoing cultural and spiritual connections to the lands, waters, seas, skies, and communities. We acknowledge First Nations peoples as the Traditional...
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (Farhat Lab) School Harvard Medical School Department/Area Biomedical Informatics Position Description The Farhat Lab in
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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Details Title Postdoctoral Fellow in Biomedical Informatics (Cai Lab) School Harvard Medical School Department/Area Biomedical Informatics Position Description A Postdoctoral Research Fellow
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papers based on research findings. Developing research proposals related to multi-agent systems and their applications. Job Requirements: PhD degree in Computer Science, Artificial Intelligence, or related
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure