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from the ground and up. Responsibilities As part of our team, you will: Learn by working with Nokia machine learning and analytics experts Design & implement a solution applying Deep Learning
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the potential of AI technology in Allegro by building solutions for efficient management and quality assurance of Machine Learning (ML) datasets. We are looking for people with: Degree in Computer Science
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to the implementation of the project: Multispectral fluorescence supported by machine learning for the analysis of cell cocultures. The scientific goal of the project is to check the possibility of using multispectral
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numerical computer simulations, a model of the accretion disk instability, driven by a dominant radiation pressure (RPI), is studied. We also study the black hole accretion and ejection of plasma in a form of
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synchrotrons around the world will be expected. The assistant professor hired will teach physics classes. An extension of the contract to permanent position is possible. 9-month contract starts on the 1st
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courses or prior professional activities with at least one of the following: machine learning, structural dynamics, numerical modelling techniques (finite element method), experimental methods in acoustics
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nationals also a good command of the Polish language (in speech and writing) to the extent allowing to teach classes in Polish, 2) scientific interests and knowledge of issues in the field of statistics
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correcting energy conditions used in supercell computing. • Experience in using GPU for VASP calculations. • Experience in applying AIMD technique and implementing machine learning in VASP. Knowledge
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investigate vocabulary learning while writing essays in which learners are asked to use academic words that are unfamiliar to them. We will closely monitor the writing process using a keylogger and, partially
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Act of July 20th 2018 (Journal of Laws of 2018, item 1668 as amended) and the Statute of University of Wroclaw. Requirements Knowledge of the Polish language at a sufficient level to be able to teach in