3,008 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"IRIBHM-ULB" Postdoctoral positions
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international collaboration partners Support and administer internal web and Linux servers Your Profile Academic degree (master's and Ph.D.) with a background in computer science, bioinformatics, physics
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an HPC-enabled industrial pipelinePublish research results in leading international conferences and journals in machine learning, computational biology, and AI for science The postdoc will work at the
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About the opportunity Established as the first computer science department in Australia, the School of Computer Science (SCS) is research intensive and has a strong tradition of research-led teaching. The
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research results in leading international conferences and journals in machine learning, computational biology, and AI for science The postdoc will work at the interface of machine learning, genomics, and
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. To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research
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an excellent opportunity for career development, collaboration, tech-transfer, and impactful research in AI, Computational Biology and Precision Medicine and Therapeutics. Key Responsibilities: Conduct high
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, together with having a strong publication record in genomics, epigenetics, or computational biology. Excellent written and oral communication skills with experience presenting at national and international
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in research project management, and a relevant publication track record. Application deadline: March 20th, 2026 at 23.59 (CET) Place of work: Dept. of Computer Science, Aarhus University, Åbogade 34
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to apply for a faculty or staff position, please review this tip sheet . The Department of Informatics and Health Data Science has an exciting opportunity for a full-time Postdoctoral Scholar to work on the
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to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address challenges in stem cell research, aging and