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underrepresented in science, who have curiosity, creativity and a drive to learn new skills. Not all projects will be funded; a limited number of candidates will be appointed via a competitive process. English language
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students enrolled in Bachelor, Master or PhD programs. Excellent/very good oral and written English language skills (at minimum B2 level). Good skills in scientific writing and presentation of the results
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analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: This PhD project explores a cutting
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/Kiel-PhD-position-%28mfd%29-in-%E2%80%9EMetabolic-microbiome-modelling-Schl-24105/1273528701/ For more information visit: www.uksh.de/jobs | https://www.iem.uni-kiel.de/de/medizinische-systembiologie
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, from viruses to vertebrates. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time; Apply now Research projects Research projects Evolution of ecological and
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. To learn from the existing mRNA vaccines (Krawczyk et al Nature 2025 https://www.nature.com/articles/s41586-025-08842-1 ) to construct better ones! The Research Task will be carried out by a team of
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the Paris region specializing in environmental and climate sciences at the Institut Pierre-Simon Laplace (IPSL) (https://www.ipsl.fr ). The LOCEAN team's work focuses on studying the physical processes
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invited for an interview in English. The successful applicant is expected to begin in spring 2026 (start date is flexible). You will enroll in the PhD program (4 years) at the Faculty of Science, University
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professionally and personally. For more information about the working conditions, please visit: https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we find
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular