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techniques to challenging biological systems. Requirements: Ideal candidates should hold an excellent PhD in structural biology, biochemistry, biophysics or in an equivalent area. Experience in membrane
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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graph processing frameworks, graph databases, graph learning frameworks, knowledge graph systems, and graph mining systems. While each of them is specialized on a specific type of task and is highly
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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
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students and technicians Maintain accurate documentation of protocols and instrument logs; liaise with service and facility management Your profile: PhD (or equivalent) in analytical/biological chemistry
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composition Present your results at international conferences and publish in peer-reviewed journals Your Profile: A Masters with subsequent PhD degree in chemistry, physics, environmental science, atmospheric
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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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, 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
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University Munich (www.tum.de). Accordingly, we are currently searching for PhD Students and Postdocs to join our team! PhD Students For PhD students, we are looking for persons that are willing to learn and
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candidate who just completed the PhD) and innovative Postdocs/Laser Scientists to join the IGNYTe project which is funded by the German Ministry of Research, Technology and Space in the scope of the Fusion