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, high-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and discrete optimization, computational optimization, inverse problems, and optimization methods
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. Numerical analysis and scientific computing: numerical methods, computational linear algebra, high-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and
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& Security, Big Science, Biotechnology and Fintech. Main function and scope: We are looking for Senior Computer Vision Engineers / Researchers with proven experience in advanced perception algorithm
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and build a light-sheet encoded-illumination microscope Characterize the system Sample Chamber Development Development of Decoding Algorithms Single-Plane SR Imaging Volumetric Imaging of selected
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algorithms in the context of the ERC WINC project (www.winc-project.eu ). Functions to be developed: Study recent trends in the field of quantum computing for communications and computing. Analyze limitations
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vision research. The position is for 3 years, starting ASAP, focused on ‘Quantum Machine Learning’, with the objective of investigating hybrid classical-quantum and quantum inspired algorithms. The tasks
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techniques, or ontology alignment algorithms. - Solid grounding in software engineering practices: UML modelling, simulation, and testing under ISO/IEC/IEEE 29119. - Strong technical writing, documentation
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the position are: Integration of multimodal sensors (e.g., physiological, kinematic and behavioural signals) into a driving simulator for patient assessment. Development of algorithms for the analysis
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knowledge of model design and TensorFlow algorithms, and experience with hardware such as Raspberry Pi, as well as training in research activities, such as a Ph.D. and fellowships related to model design and
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practical knowledge of statistical and programming packages is mandatory, including R, Python, and/or SQL. Extensive experience with advanced statistical techniques and algorithms, such as Machine Learning