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                Erasmus MC (University Medical Center Rotterdam); Published yesterday | Netherlands | about 8 hours ago
The Department of Medical Informatics at Erasmus MC invites applications for a PhD position at the forefront of health AI and data science. Join our innovative, multidisciplinary team engaged in
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Cardiometabolic diseases (CVMD), such as heart disease and type 2 diabetes, represent a major global health burden and exhibit stark ethnic disparities. Current clinical prediction models, even
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. Candidate Requirements A strong academic background in Engineering, Mathematics, Physics, Architecture or Computer Science. An undergraduate degree with at least 2.1 in one of the above subjects is essential
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achieving Net Zero by 2050. In partnership with Plant Health at Defra (Department for Environment, Food & Rural Affairs), this project introduces a novel AI-driven framework to protect the nation’s plant life
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for motivated individuals skilled in computer science/computational biology/bioinformatics with the desire to make a difference for people suffering from mental health problems. A Masters Degree in (Bio
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The Faculteit Geneeskunde en Farmacie, Department Observerende Klinische wetenschappen, Research Group Electronics and Informatics: Research – Development - Innovation is looking for a PhD-student
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The Faculteit Geneeskunde en Farmacie, Department Observerende Klinische wetenschappen, Research Group Electronics and Informatics: Research – Development - Innovation is looking for a PhD-student
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24 Oct 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Informatics Computer science » Programming Researcher Profile First Stage Researcher (R1) Country
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in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health and
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applicants typically have backgrounds in computer science, statistics or econometrics but should have an intrinsic interest for marketing problems. The PhD will be supervised by Prof. Dr. Lemmens and funded by