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suitable to candidates with a wide range of backgrounds such as but are not limited to: climate science, psychology, mathematics, geography, environmental science, law, computer science, public health
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within three months of your employment contract start date
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will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Theodoros Kapourniotis, National
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of Electrical Engineering and Computer Science School of Art and Design Course language German and English Financial support No Structured research and supervision Yes Research training / discussion Yes Career
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Description The Molecular Nanophotonics Group at the Faculty of Physics and Earth System Sciences at Leipzig University is currently offering a doctoral researcher position under the supervision
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is fully funded for home students or EU students with settled status. We are seeking a motivated and independent researcher with a background in biomedical engineering, biomaterials, tissue engineering
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PhD position in Human-Centered AI for Accessibility Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 28
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Temporary contract | 14 months | Belvaux Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
If your goal is to lead groundbreaking research and make a real-world impact, DTU Biosustain offers the perfect launchpad. Join us and redefine what’s possible in sustainable science and innovation