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review). Requirements: PhD in History Desirable: - relevant knowledge in Holocaust Studies - Previous experience in the digital humanities - Previous experience in knowledge transfer - Knowledge
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, Oxford, London, and Cardiff (regular cross-site meetings and joint outputs). Requirements PhD in Psychology, Mathematics, Computer Science, Neuroscience, Physics, or a related field. Strong skills in
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the disc is an added advantage. Career growth: The candidate will have the opportunity to co-supervise PhD students. Optionally, the successful candidate will have the opportunity to mentor master’s students
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good communication and organizational skills, and ability to work in an independent and flexible manner PhD degree in the Life Sciences Very good English language skills (oral and written) What we offer
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(accredited master/university diploma or equivalent in business administration, economics, social sciences, environmental sciences, industrial engineering or comparable) a completed doctorate degree/PhD in a
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; you will communicate findings in meetings, publications and international conferences. Essential requirements: academic degree (MSc/PhD) in a relevant field (e.g., computer science, bioinformatics
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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administration, archiving and management of research data Your profile A completed PhD degree in history, media studies, STS or other relevant disciplines and/or in relevant fields of the humanities and
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project activities and writing reports Your Profile MSc or PhD in a relevant field Experience with Machine Learning modeling Coding experience, preferably Python Basic knowledge of databases tools and
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Doctorates at the University of Tübingen Funding and support for junior researchers Partner Institutions Innovation Back Technology Transfer Office Startup Center Industry Liaison Office Support Back Research