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PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file
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complete online application must be submitted no later than 21 September 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply
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deformation. Responsibilities Develop scientific machine learning methods in close collaboration with team members specializing in experimental techniques and materials science. Utilize unique experimental data
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for research A relevant background in microbiology, molecular biology, animal physiology, or a related field Experience in chemical, microbiological, and/or molecular laboratory work Experience in experimental
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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials
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PhD fellowship in Section for molecular ecology and evolution at the Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen We are offering a PhD fellowship in Population
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of Science and Technology (NTNU) offers a joint 3-year PhD fellowship. Novel non-target chemical analyses have recently revealed that groundwater and drinking water are contaminated from PFAS, pesticide and
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, including EMODnet, trawl and dredge surveys, commercial catch and bycatch records, coastal vegetation data, citizen science catch rates, and environmental datasets from Copernicus. This will require working
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DTU Management’s Management Science division. The project is led by Professors Stefan Ropke and Richard Lusby and involves international collaboration with leading researchers in machine learning and