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new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. Start date: Fall 2026 Duration: The appointment is for 3 years It is
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(https://www.kuleuven.be/personeel/jobsite/en/phd/phd-information#workin… ) KU Leuven offers a competitive and international working environment with access to the latest technologies and expertise. KU
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strategies that strengthen skills, jobs, and workforce resilience towards 2050. Join our team to drive innovations that support urban resilience. This is your chance to make a real impact! Information As a PhD
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also involve analysis of massive data sets either in the cloud or on premises. They may require creation of novel data science techniques, software pipelines for processing of real-time high-frequency
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driven single-photon devices. Collaborate with PI, researchers, and students on device development, data analysis, and interpretation. Prepare high-impact journal publications, conference papers, and
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); ▪ at least one example of a written piece (in English and including some empirical data analysis) that shows the analytical and writing skills of the candidate in a social science discipline; ▪ via email to
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position A new PhD fellowship in path signatures, stochastic analysis, and
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, genetics, or a related life sciences discipline. Demonstrate hands-on experience with large-scale multi-omics data analysis; proficiency in Python and R programming is highly valued. Travel regularly
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associated with mitotic entry. You should hold a PhD (or be about to be awarded a PhD) in Cell Biophysics or a related field and have extensive experience with quantitative imaging and image analysis, and/or
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survey evidence (including longitudinal/panel designs), contextual data and—when relevant—qualitative materials. Job position requirements (skills/languages/required experience) PhD in urban studies