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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 10 hours ago
-time / part-time full-time Programme duration 6 semesters Beginning Winter and summer semester Application periods This programme has no deadline listed. More information on application periods Please
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Status: Open Applications open: 1/06/2023 Applications close: 17/12/2030 View printable version [.pdf] About this scholarship Description/Applicant information This Curtin top up scholarship
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 10 hours ago
-time / part-time full-time Programme duration 6 semesters Beginning Winter and summer semester Application periods This programme has no deadline listed. More information on application periods Please
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Status: Open Applications open: 1/07/2026 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Please note that this is FOR
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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preclinical animal models required for research projects. Collaborate within interdisciplinary teams to analyze data, publish findings and contribute to clinically relevant innovations. Required Qualifications
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([email protected]). See also https://www.ch.nat.tum.de/pc/research/e-conversion/ and https://www.ch.nat.tum.de/hydrochemistry/environmental-and-isotope-analysis/ for more information. The position is suitable
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domains where data cannot be directly shared, such as healthcare and finance, the ability to selectively remove the influence of specific data from trained models becomes critical. Yet, despite the EU’s
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the Nordic region and municipality/industry partners on real use cases for e-health solutions conducting research in software systems, distributed systems, network technologies and advanced data analysis