233 phd-in-computational-mechanics-"Prof"-"Prof" Postdoctoral positions at Nature Careers
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advanced data-driven methods and have the autonomy to set your own scientific emphasis. As team member of the ERC Starting Grant “MesoClou”, you will work with PhD students and a fellow postdoc and be
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of the IML group within prediction of T cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within the group and
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interdisciplinary team. Our research focuses on fundamental mechanisms underlying neurodegenerative diseases and cancer, with current projects concentrated in two main areas: 1. Protein quality control, aging, and
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Immuno-Oncology (CEPIO) and Department of Immunology, is seeking passionate and highly motivated candidates for a fully funded postdoctoral fellowship focused on unraveling the molecular mechanisms of anti
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to platform development for metabolic engineering What you bring to the table PhD in biotechnology, microbiology, molecular biology, or a related field Experience working with strict anaerobes, ideally with
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
high-impact scientific journals. Your profile The position is offered to a highly motivated candidate with a PhD degree in Soil Science, Environmental Science, Biogeochemistry, Wetland Science, Remote
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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manuscripts Preparation of grant applications Providing guidance to junior researchers Your profile: A PhD degree (or comparable) and a strong background in biostatistics, epidemiology, biology, medicine
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. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a department, we value having a pleasant and informal working environment across all job
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of climate model output by means of classical statistical and machine-learning methods #coordination of scientific workflows among project partners Your profile #Master's degree and PhD degree in meteorology