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- Łukasiewicz Research Network – PORT Polish Center for Technology Development
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Field
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related to modeling and simulation of biological systems, 3) very good IT skills, in particular the ability to program in Python, 4) very good knowledge of machine learning methods, neural networks, and
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- excellent command of English (spoken and written), sufficient for preparing scientific publications and presenting research results at conferences, - knowledge of machine learning methods, - sufficient
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baseline and temporal models, and integrating machine-learning components with analytical prototypes and software infrastructure. The work is expected to include, among others, biomedical, industrial, sports
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Description We are looking for a candidate who will teach subjects related to telecommunication and computer networks and will perform scientific research in accordance with the research priority
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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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, establish and lead a research group, and apply for prestigious research funding (e.g., ERC grants) in the field of artificial intelligence and machine learning. Where to apply E-mail sekretariat.mini
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telecommunication as well as IT technologies. The experience in the field of data processing in radioelectronic systems, pattern recognition, neural networks and machine learning technology is especially desirable
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well as IT technologies. The experience in the field of data processing in radioelectronic systems, pattern recognition, neural networks and machine learning technology is especially desirable. For more
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experience in teaching students the subject: CAD. Be able to teach students in the following areas: Computer-Aided Engineering, Engineering Graphics, General Mechanics and Fundamentals of Machine Design; Have
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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