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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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networks using common Python-ML libraries such as PyTorch preferably also background knowledge in computational mechanics and applied mathematics highly proficient in spoken and written English We offer you
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spoken and written English Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive professional networking opportunities A
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and international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking
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for horticultural sciences a pleasant and respectful working atmosphere integration into a successful and committed team in an international environment and network flexible and family-friendly working
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network "Success Factor Family" and of the “Diversity Charter” (Charta der Vielfalt). Further information can be found at: https://www.ipb-halle.de/en/institute/ Data protection: Please note the data
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sustainable future. A more detailed summary of our research fields can be found on: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech Our excellent Network on international
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challenges facing science, society and industry. With its ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working
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as non-working days Attractive subsidy for the company ticket (Deutschlandticket Job) Possibility of hybrid working Very good connection to the public transport network Comprehensive further training
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, biochemical interactions and biological functions of small natural product molecules in plants and fungi. The focus is on specialized metabolites, chemical mediators and relevant molecular networks