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advantage) Solid background in optics and laser physics Knowledge of digital signal processing Interest in building and operating complex experimental systems and prototypes Experience with
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, as well as initial experience with Linux Good written and spoken English A willingness to work closely with scientists in other European countries, as well as a strong interest in the field of high
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and experience with modern deep learning frameworks (e.g. PyTorch) Solid background in machine learning, ideally with experience in NLP, large language models, or sequence modeling Interest in clinical
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for travel, guests, workshops Key skill courses The opportunity to gain teaching experience (in English or German) Most of the positions are based at the University of Regensburg. Depending on the projects
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university will determine the individual pay grade assignment based on relevant prior professional experience upon an offer of employment. Additional benefits, such as the annual bonus (“Christmas bonus”) and
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information here: https://www.uni-muenster.de/international/en/studierende/general-information/cost-and-funding.html . Funding opportunities within the university Yes Description of the above-mentioned funding
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). The lab bridges computational approaches, including allele-specific epigenomics, with experimental strategies such as high-throughput bulk and single-cell sequencing, viral vectors, and CRISPR-based in vivo
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data analysis. Additionally, through a planned cohort study, you will gain experience in translating laboratory findings into real-world health applications. Key Responsibilities: • Characterizing metal
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, Study of Religions, and Philosophy of Religion. https://www.en.buddhismus-studien.uni-muenchen.de/index.html Additional support is offered by the GraduateCenter. Course organisation The PhD programme
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check our website for more information: https://www.uni-goettingen.de/de/635183.html PhD students with their own funding (e.g. DAAD) can join at any time. Tuition fees per semester in EUR None Combined