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analyses, an area in which our group has a track record of success (see recent publications below). The TARGET-AI project seeks to apply leading-edge techniques from deep learning and Bayesian modeling
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cytometry) • A structured PhD training program and career development support • Responsible and versatile: a job with a lot of creative freedom in a collegial team • Secure in the future: fee
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target structures, with the goal of improving molecular classification, diagnosis, and individualized treatment strategies. Independent planning and execution of experiments, including thorough
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bioinformatics Collaboration with scientists worldwide in strong national and international research network Attractive remuneration Structured doctoral training Have we sparked your interest? Pease send your
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of future applications from the fields of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and
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collaboration low-temperature scanning tunneling microscopy (STM) as well as atomic force microscopy (AFM) in the workgroup of Prof. Manuel Gruber (UDE), and first-principles electronic structure calculations in
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consortium. Specific requirements: We are looking for a motivated candidate, preferentially with theoretical background and strong interest in electronic-structure theory and code development. Basic
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suitable candidate to carry out this exciting and challenging project, which will bring unprecedented information about structure-property relationships in this popular class of organic semiconductor devices
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expect The ability to work independently and on your own initiative, a methodical and systematic approach, structured and goal-oriented thinking, capacity to familiarise yourself quickly with new topics
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social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly