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/InstituteŁukasiewicz Research Network - PORT Polish Center for Technology DevelopmentCountryPolandCityWrocławPostal Code54-066StreetStabłowicka 147Geofield Contact City Wrocław Website https://port.lukasiewicz.gov.pl
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, computer science, data science, or similar · Strong publication record in peer-reviewed conferences and/or journals · Experience applying machine learning methods (especially deep neural network approaches
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
) Start to develop trainable Artificial Neural Networks for the identification of sequence patterns relevant for the function of the enhancers that harbor the respective NucAlts. Admission Requirements
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contributions into powerful, integrated systems that drive high-impact publications. Who We're Looking For Solid expertise in deep neural networks, especially using PyTorch Strong interest (or hands-on experience
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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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understanding of the mechanisms of astrocyte dysfunction and its impact on neuronal networks, building on the complementary expertise of a team with a strong publication record in reputable journals and proven
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part of a team developing analytic likelihood approximations and neural posterior estimation methods for epidemic data analysis. This role offers an excellent opportunity to work at the interface
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consolidation and for decision-making study of neural networks that enable memory use of state-of-the-art experimental tools such as psychophysics, electrophysiology and optogenetics in rats collaborative
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of experimental platforms to model human neural systems. The successful candidate will design and apply microphysiological systems, such as lab-on-a-chip or biosensor-integrated constructs, to study neural network