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various markers, and can be obtained under various experimental conditions, these data form a huge analytical challenge. Furthermore, individual predictions of relevant patient outcomes based
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Group in the Social Networks Lab at ETH Zürich is developing network data science methods and applying them in a variety of domains. Our current research focus is on sports analytics and we seek to expand
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months to the University of Deusto in Bilbao. Main Supervisor: Prof. Dr. Peter Scholten (Erasmus University Rotterdam) – p.scholten@essb.eur.nl Co-supervisor: Dr. Bilge Yabanci (University of Deusto
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Society. The Department of Machine Learning and Systems Biology led by Prof. Dr. Karsten Borgwardt is looking to recruit a highly-motivated PhD student (m/f/d) for the project Building Clinical Foundation
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projects and current collaborations with companies in this domain on the expert practice page of the Erasmus Center for Data Analytics directed by Prof. Dr. Lemmens: https://ecda.eur.nl/expert-practices
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want more information? For more information about the position, please contact Prof. dr Liesje Mommer, via +31 6 20921336 or email: Liesje.Mommer@wur.nl . Questions about the procedure? Get in touch with
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background in medicine, healthcare (operations) management, health policy and data analytics. Where to apply Website https://www.academictransfer.com/en/jobs/355086/phds-data-driven-insights
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medicine, healthcare (operations) management, health policy and data analytics. Qualifications The ideal candidates are ambitious, highly motivated, and wish to make a career in academic research. You have
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24.09.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, invites applications for a fully funded PhD position at the Technical University of Munich
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groundwater flood risk and water contamination. For further information on the project, we will be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link to the event can be found