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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 2 months ago
models. Increasing the performance of integration algorithms and model simulations, and developing machine learning methods for analyzing genomic data. Where to apply Website https://system.erecruiter.pl
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activity (TON, TOF) and selectivity will be used to develop predictive machine-learning models that enable accurate in silico identification of optimal catalyst–substrate–conditions combinations and the
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to density functional theory (DFT) calculations and the generation of high-quality atomistic datasets for the development of analytical bond-order potentials (ADP) and machine-learned interatomic potentials
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at the Department of Economics and Finance, Faculty of Management and Computer Modelling, Kielce University of Technology. The documents should be sent to the following address: Politechnika Świętokrzyska Biuro
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learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries
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The Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences | Poland | 2 months ago
of machine learning systems, with particular emphasis on adversarial attacks, defence methods, and vulnerability analysis of machine learning models. The position does not involve teaching duties. Where
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experimental studies with healthy volunteers using psychophysical methods, psychophysiological measurements, mathematical modelling, and machine learning approaches. RESPONSIBILITIES: Participate in
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leading research projects funded by grant-making agency * experience in structure-property relationship modeling and modeling using small training sets, including deep learning and meta-learning techniques
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artificial intelligence models and developing machine learning methods in the context of quantum physics and chemistry, as well as experimental physics - Documented experience in creating an environment and
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frontend applications: Angular or React; experience in building Machine Learning and Deep Learning models; knowledge of AI/ML libraries (TensorFlow, PyTorch, Scikit-Learn or similar); ability to prepare and