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Engineering, Medical Image Analysis, Applied Mathematics or a related field Experience with deep learning for image analysis, preferably in medical imaging Experience with generative modelling, ideally
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(e.g., mathematics, physics or computational social science), with a strong track record in network science (or complex networks / social network analysis); Excellent writing skills and proficiency
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, from fellow academics to patients. You have experience with analysis of sensor data. You have an affinity for patient care and are able to communicate with patients. You have a good command of written
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-dimensional flow analysis. It combines work on experimental techniques with the application of established and advanced 3D-LPT methods. The selection process will start immediately; the intended start date is
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which research focuses mainly within the research programmes (1) Algebra, Geometry and Mathematical Physics, (2) Pure, Applied and Numerical Analysis, and (3) Stochastics and (4) Discrete Mathematics and
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framework of the Postdoc position, in alignment with the broader Vidi project; conducting high-quality empirical research (archival research and cultural analysis); contributing to the development of a theory
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analysis. Technical Skills: Experience with advanced finite element software and nonlinear static and dynamic analyses. Specifically, high proficiency with both DIANA FEA and ABAQUS. Strong numerical skills
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observability, potentially integrating physics-aware constraints and generative modelling approaches. Both tracks interact closely to create a data–model feedback loop, enabling systematic analysis of how
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) at Wageningen University & Research. Where to apply Website https://www.academictransfer.com/en/jobs/359365/postdoc-position-genetic-varian… Requirements Specific Requirements You are a highly motivated
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genome instability and metabolic diseases. The responsibilities of the position include: Establish the aforementioned research line Design and perform investigations and data analysis Working closely with