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management, (organizational) psychology, sociology, economics, business informatics, or related subjects, • with a strong passion for entrepreneurship and/or family business research, • with a solid knowledge
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coordination with Prof. Dr. Harald Sack. Qualifications and Skills: A very good PhD degree in computer science or a comparable discipline. Very good software engineering skills. Excellent written and spoken
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) and present your work at top conferences and journals in our field. Candidates should have completed their Master/Diploma studies in Computer Science, Mathematics, Mechatronics, Electrical Engineering
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- Experience in RNA-sequencing and bio-informatic analysis is a plus - Flexible team player We are offering excellent research conditions, a highly motivated and interdisciplinary team, a friendly working
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
11.02.2022, Wissenschaftliches Personal The Chair of Information-oriented Control (ITR) offers a PhD/PostDoc position within the 6G-life Research-Hub „Digital transformation and sovereignty of future communication networks”. TU Dresden and the Technical University of Munich have joined forces to...
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06.09.2021, Wissenschaftliches Personal The Institute for Communications Engineering is currently offering seven positions for PhD or postdoctoral candidates for the project "6G-life" which is funded by the German Federal Ministry of Education and Research (BMBF). The position is funded for four...
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control and strong interest to further develop their skills. The selected applicants are expected to have: • Masters or PhD-level degree in Robotics, Mechatronics, Computer Science or closely related fields
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WSI Quantum Sensing Group (Reinhard lab) 23.07.2020, Wissenschaftliches Personal The quantum sensing group at the Walter Schottky Institute of TUM is offering PhD and Postdoc positions to join our work on novel sensors and their applications. The group The quantum sensing group at the Walter...
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, enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq