40 programming-language-"Prof"-"Foundation-for-Research-and-Technology-Hellas"-"Prof" positions at Heidelberg University
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also in relevant study programs at the South Asia Institute, as well as in the BA and MA Anthropology Develop and implement an own research agenda aligned to the that of the department and the institute
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(depending on project) Being able to work and communicate in interdisciplinary and international research environments Excellent English skills (written, verbal) Commitment to a structured doctoral program
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samples which are complemented by DNA methylation, DNA and RNA sequencing as well as clinical data. Together with the Artificial Intelligence and Cancer Evolution Division at the German Cancer Research
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programming skills in Python and R Experience in software development, particularly in dashboard or web application creation Familiarity with geospatial analysis, GIS tools, or related technologies is a plus
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English version see below. Am Seminar für Klassische Philologie der Universität Heidelberg ist zum nächstmöglichen Zeitpunkt eine W3-Professur für „Klassische Philologie: Lateinische
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sociology You show advanced skills in methods of empirical social research You are committed to innovative teaching You have an excellent command of English and German; additional languages and/or area
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considered an asset Programming experience in Python Ability to work in a team Self-driven, independent, and goal-oriented work ethic Good command of written and spoken English We offer: Comprehensive courses
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builds bridges between past and future, between community and academia. Funded by the German Research Foundation (DFG), the RTG aims to reveal enmity as a processual, relational, and deeply ambivalent
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English version see below. Die Universität Heidelberg ist eine Volluniversität mit ausgeprägter Forschungsorientierung und internationalem Anspruch. Mit rund 31.300 Studierenden und 8.400
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Organoid Engineering for Multi-Organ Interaction Studies (POEM) program ( www.uni-heidelberg.de/en/cctp-poem ) brings together expertise in material science, computer science/machine learning, biophysics