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characterisation techniques is beneficial, but not required; Experience in at least one programming language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, ...); Good communication skills and
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modelling; Knowledge of spectroscopy is beneficial, but not required; Experience in at least one programming language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, ...); Good communication
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equivalent 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
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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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generation sequencing Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners
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geometry altogether and operate in hyperbolic space. Our lab has published multiple papers showing that hyperbolic deep learning has strong potential for computer vision, from hyperbolic image segmentation
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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relevant for wafer handling. Silicon is a very complex material, undergoing multiple phase transformation, with some phases showing extensive plastic deformation, during mechanical loading and contact
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to clinical problems in cardiology and to more fundamental questions within the area of cardiovascular disease as well. The project is a collaboration project between multiple Scandinavian Universities and
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
Movement Study, we are closely collaborating with Assistant Professor Xucong Zhang (Delft University of Technology) to develop systems and algorithms that allow for eye gaze study through multiple camera