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13.03.2025 Application deadline: 30.06.2025 The Soft Matter Physics Group at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics, Machine Learning and advanced
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, an interest in machine learning would also be considered a plus, especially if it can be connected to embedded or hardware-oriented applications. Applicants are required to have a diploma, master or equivalent
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networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In this project
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CMFI Cluster of Excellence iFIT Cluster of Excellence Machine Learning CIN LEAD Graduate School & Research Network Collaborative Research Centers Transregional Collaborative Research Centers (CRC-TRRs
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Profile Areas Cluster of Excellence CMFI Cluster of Excellence iFIT Cluster of Excellence Machine Learning CIN LEAD Graduate School & Research Network Collaborative Research Centers Transregional
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CMFI Cluster of Excellence iFIT Cluster of Excellence Machine Learning CIN LEAD Graduate School & Research Network Collaborative Research Centers Transregional Collaborative Research Centers (CRC-TRRs
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CMFI Cluster of Excellence iFIT Cluster of Excellence Machine Learning CIN LEAD Graduate School & Research Network Collaborative Research Centers Transregional Collaborative Research Centers (CRC-TRRs
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PhD Researcher in Theoretical or Experimental Pragmatics / Cognitive Science (m/f/d, E 13 TV-L, 65%)
environment at the University of Tübingen and a dedicated interdisciplinary project team. We offer the opportunity to acquire cutting-edge research methods, combining experimental studies on language use and
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on fundamental and applied biological problems. Send your application as one pdf file by email to hannes.linkspam prevention@uni-tuebingen.de . The pdf file should contain: a cover letter, your CV and relevant
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offers in STEM. To support and expand these offerings, the Hector Children’s Academies Moodle provides a digital learning environment with over 17,000 students, 700 instructors, and 100 courses offered