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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 34 minutes ago
atmosphere in a very dynamic and professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and
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spectroscopy measurement at state-of-the-art large-scale facilities. You will perform quantitative data analysis using programming languages such as Python. You will perform preliminary calculations to interpret
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to our state-of-the-art Core Facilities and their technical expertise Fully funded positions with financing until the completion of your thesis A lively community ofmore than 200 PhD students from 44
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are available here: https://www.cs.cit.tum.de/en/prog/open-positions/ Informal inquiries are welcome at [email protected]. The position is suitable for disabled persons. Disabled applicants will be given
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=29229 PhD Position Single-Cell Genomics in Post-Traumatic Stress Disorder (m/f/d) Stellenanzeige
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of psychiatric disorders. The Institute combines state-of-the-art facilities for basic research and a research hospital, fostering truly translational approaches to unravel the fundamental neuronal and molecular
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-of-the-art equipment Public service benefits Extensive training opportunities Professional career advice offered by our in-house Career-Centre Flexible working hours and conditions Support with finding a good
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Professorship of Statistics and Data Science in Official Statistics according to Art. 67 (3) of the Bavarian Higher Education Innovation Act (Thuringian Model)‚ combined with the Head of an organizational unit
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-of-the-art bioinformatics approaches, increasingly incorporating AI and deep learning (see, e.g., Sarropoulos et al., Science 2026). This work has provided insights into the origins and functional evolution
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RNA-seq and ATAC-seq) across species, based on samples from our unique organ collections, and analyzed them using state-of-the-art bioinformatics approaches, increasingly incorporating AI and deep