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- Czech Technical University in Prague
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- Faculty of Informatics, Masaryk University
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(iii) complex architectures with tightly coupled components hinder modular adaptation. To address these limitations, we research a physics-guided machine learning framework that integrates physical
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antibodies and anti-CD20 CAR T-cells form the backbone of treatment for mature B cell malignancies. The project focuses on elucidating changes in gene expression within the tumor microenvironment of chronic
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, dimensionality reduction and/or machine learning methods (e.g., Lasso, ridge regression) is highly desirable. Familiarity with neurostimulation, Parkinson’s disease, or neuropsychological assessment tools is
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that preserves object identity or style. They should have a solid publication record in top-tier computer vision conferences such as CVPR, ICCV, or ECCV, and demonstrate proficiency in deep learning frameworks
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animals and humans, contacts with the environment are not avoided and sometimes even actively sought. We will deploy this inspiration from biology to design truly robust machines with distributed control
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for robotics, perception, prediction Computer vision and data acquisition System modelling and control JUNIOR RESEARCHER – Responsibilities Participate in R&D tasks across ongoing projects Support experimental
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agreement Employment: 3-year initial contract (with possible extension - tenure track) Workplace: Faculty of Informatics – Department of Machine Learning and Data Processing, Masaryk University, Botanická 68a
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start: September 2026, by mutual agreement Employment: 3-year initial contract (with possible extension - tenure track) Workplace: Faculty of Informatics – Department of Machine Learning and Data
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announces an open competition for the position Ph.D. student - Machine learning-based tools for multiparametric enzyme optimisation Workplace: RECETOX, Faculty of Science, Masaryk University in Brno, Czech
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Czech Academy of Sciences, Institute of Information Theory and Automation | Czech | about 2 months ago
at UTIA offer friendly environment with strong expertise in machine learning, material appearance capture and modelling. UTIA provides unique datasets, appearance capturing devices and strong computational