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, and Den Otter, Weindel, Stuit, Van Maanen, Plos Computational Biology, 2026 for more information about these methods. The goal of the project is to be able to track differences in strategy use between
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, particularly in light of the rise in chronic diseases, the necessary strengthening of prevention efforts, or the possible resurgence of epidemics; socio-economic inequalities and differing capacities to access
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and ambiguity function processing Familiarity with time-, frequency-, and amplitude/phase-difference of arrival for geolocation Understanding of adaptive signal processing methods and techniques (Kalman
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and ambiguity function processing Familiarity with time-, frequency-, and amplitude/phase-difference of arrival for geolocation Understanding of adaptive signal processing methods and techniques (Kalman
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are different, and no method can currently tell them apart. This project builds one — with consequences for how carbon inequality is measured, and for a new kind of demand-side climate policy. About us At the
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skills in longitudinal and trend analyses of survival, mortality, and disease burden. Contribute to research aimed at improving understanding of population differences in CKD burden and identifying
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; experience with foundational AI model development/fine-tuning and machine learning and/or deep learning; strong programming skills (e.g., Python, JavaScript, PostgreSQL) with clear expertise in front-end and
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implications for both fundamental and medical sciences. Job requirements MSc degree (or nearing completion) in physics, biophysics, computational biology, or a related field. Strong programming skills (Python
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: Completed, or soon-to-be completed MSc in the biological sciences or different fields in the natural sciences (e.g. computational, mathematical, earth or marine sciences) with a strong interest in ecology and
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equivalent practical experience. • Strong Python, SQL programming skills, GitHub, and experience with ML frameworks (PyTorch, TensorFlow, etc). • Full stack software development, experience with JavaScript