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Field
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for the production of heat pipe components Your Profile: Completed university degree in mechanical engineering, physics, materials science, computational engineering, or a related field, with a PhD or Master degree
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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biological robustness to join our team. Required: You possess a PhD or are close to completing your PhD in cell biology, developmental biology, stem cell biology, or a closely related field. You have strong
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conferences Your qualifications: A Master’s degree (or equivalent) and a PhD in geophysics, physics, geosciences or a closely related field Experience in data assimilation and numerical simulations Knowledge
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
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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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focus on power electronics and control technology as well as a subsequent PhD in a related field, ideally involving system modelling and/or power electronic systems Proven experience in modelling and
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in the field of microbial ecology, molecular biology, microbiology or comparable with and a very good PhD Professional experience as a postdoc and experience in the supervision of qualification theses
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 1 month ago
essential for the candidate to have (or close to complete) a PhD / Dr. rer. nat. / DPhil in related field of science. The candidate will have a proven ability to deliver high quality novel research
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are looking for: a highly motivated researcher with at least 3 years of research experience (possibly as part of the PhD) in a field related to mathematical analysis of partial differential equations (PDEs