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component (Master’s level or equivalent), A solid background in signal processing and machine learning Knowledge of embedded systems, cloud and edge computing is an advantage Excellent programming skills
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disorders as a case study for advancing digital health in Europe. This PhD project is embedded in Work Package 3: Trustworthy Data and Models of the EU Horizon ENDOTRAIN doctoral training network and aims
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for Applied Mathematics and Operations Research , where BI’s involvement in SURE-AI is embedded. Faculty at the Department of Accounting and Operations Management at BI is actively involved in the PhD
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with a strong mathematical and data management component (Master’s level or equivalent), A solid background in signal processing and machine learning Knowledge of embedded systems, cloud and edge
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No.: 101227148) The position is one of 19 PhD Fellowships available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). About the project/work tasks: This PhD project is embedded
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graduate school International Leibniz Research School: https://www.ilrs.de/# or the Jena School for Microbial Communication: https://www.jsmc-phd.de/# The Leibniz-HKI is embedded in the outstanding
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disorders as a case study for advancing digital health in Europe. The PhD project is embedded in Work Package 4: Legal and ethical aspects of AI tools of the ENDOTRAIN network. It originates from the EU’s
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. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe. This PhD project is embedded in Work Package 3: Trustworthy Data and Models of the EU Horizon ENDOTRAIN doctoral
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. Grisoni), whose mission is to augment human intelligence in drug discovery with novel AI technology. You will also be embedded in the Chemical Biology group (led by Prof. L. Brunsveld), the Dept
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issue is the embedding of hierarchies, for which a different geometry is better suited, namely hyperbolic geometry. Seminal works have shown that for embedding hierarchies, we should abandon Euclidean