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, providing state-of-the-art facilities and resources. YOUR TASKS: We are seeking an experienced and visionary computer scientist to lead our Bioinformatics Facility. The successful candidate will have the
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materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH (AMO ) in Aachen, Forschungszentrum Jülich (FZJ ), Max Planck
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) program - one of the four scientific pillars of the upcoming FAIR (Facility for Antiproton and Ion Research) facility currently entering its commissioning phase. In particular, the DESPEC experiment
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* Contribute to the supervision of PhD students and junior researchers Your Profile: * PhD in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, or a related field – (Doctoral degree should
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. The professorship is to represent botany in its entirety in courses for the bachelor's degree program in biological sciences and the teacher training programs in biology. The professorship is also expected
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with academic and industrial partners A comprehensive mentoring program, including training in soft skills, offered by the Jena Graduate Academy and the Jena School of Microbial Communication University
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multidisciplinary setting (required) Motivation to participate in a structured PhD training programme (required) Interest in studying the function of ion channels involved in reproduction (required) Master in biology
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are invited to apply for the 3-year Clinician Scientist program of the Leipzig University funded by the Deutsche Forschungsgemeinschaft (DFG). Tasks The combined clinical and scientific program focusses
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, or biomolecular systems. The research program should connect to the wider Bonn science landscape and should facilitate close collaborations within the Department and the university’s Transdisciplinary Research
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare