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”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer
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, Belgium and Brazil. Your profile You have a PhD degree in chemistry, materials science, nanoscience, physics or biology, or a related subject and are interested in interdisciplinary research. The ideal
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(on this project, funded by the Villum foundation, there will be hired 1 PhD student and 2 postdocs over a 5-year period). The postdoc will have opportunities to influence the direction of the project. About the
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Engage in teaching as required Required Qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in Bioinformatics with at least
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international journals The ideal candidate would have a PhD in geoscience, marine science, environmental engineering, or related disciplines, would have experience handling in situ instrumentation and working
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the successful candidate. We are looking for a candidate who has: A PhD in law or a related field. Prior knowledge of and an interest in human rights law, climate change and environmental law. Ambition to develop
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collaborative postdocs to lead research projects focused on dissecting the gene-regulatory mechanisms controlling cancer as outlined above. You have: A PhD in Life Science, e.g., Molecular Biology. Expertise in
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CAPeX research themes and X-trails, our organization, and the other open PhD and postdoc cohort positions at http://www.capex-p2x.com . The automation of laboratory experiments concerning materials
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the following essential experience and skills: Essential experience and skills: You have a veterinary background and a PhD degree preferably within biomedicine, immunology, neuroscience or related areas You are
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Engage in teaching as required Required Qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in Bioinformatics with at least