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biomedical sciences. What You Can Expect: We offer a diverse and stimulating range of tasks in the field of big data analysis, where you will develop and apply advanced computational methods to analyze complex
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in history or a related field or, alternatively a PhD in computer science with experience in conducting historical research Motivation to work in an interdisciplinary environment with digital humanists
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research into the cellular/metabolic/microbial mechanisms of human intestinal disease. The candidate will hold a Ph.D, be proficient in spoken and written English, and ideally hold
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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, iterations, and test analytics. Is Your profile described below? Are you our future colleague? Apply now! Education · PhD in computational mechanics, mechanical engineering or a closely related major
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Participate in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: PhD in Computer Science Experience in dependable systems, real-time and
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2-yr postdoc on Forecasting Biosphere-Scale Effects of Ecological Novelty Using Species Distribut...
program. The Department offer a vibrant and informal research environment with a long-standing tradition for collaboration with international university partners in the absolute elite. The working language
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welfare for animals and humans. The activities form the basis for the research-based public sector consultancy and degree programs covering bachelor's, master's and PhD degree programs within animal science
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of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a complete list
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sciences. Since cancers are complex systems, biomedical discovery in oncology depends on the ability to develop methods that can extract novel insights from data. The Sottoriva Lab in the Computational