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- National Centre for Nuclear Research
- Adam Mickiewicz University, Poznań
- Institute of Nature Conservation Polish Academy of Sciences
- Institute of Physical Chemistry, Polish Academy of Sciences
- Jagiellonian University
- Nencki Institute of Experimental Biology
- Sano Centre for Computational Personalized Medicine
- Wrocław University of Science and Technology
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Field
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the necessary interface between the computer and the neural network of the human retina in vivo – without introducing additional modifications to our organisms. Such an interface could, in turn, be developed
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is modelling and optimization using molecular dynamics and machine learning. The position is part of a team looking at these fascinating systems from their fundamental properties and making them in
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methods and potential application of machine learning techniques. Good command of English (B2/C1). The candidate will be responsible for carrying out tasks related to the analysis of experimental data
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of data at high luminosity (after Upgrade-2), participation in coordination of activities in software groups or data analysis groups, coaching of PhD as an auxiliary supervisor on machiner learning, new
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. Essential qualifications: PhD in Computer Science, Robotics, Machine Learning, or related fields. Programming skills in Python/C++ and experience with ML frameworks (e.g. PyTorch, TensorFlow, JAX). Strong
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development) including robotics, computer vision, natural language processing, information organization and retrieval, biomedical application and machine learning. Author of at least 2 research papers in topics
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. Obligatory qualifications are: - PhD in Earth Sciences, Geography or Biology - Experience in field work and writing publications on macroplastic in fluvial environment - Computer proficiency, including MS
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, machine learning, Experience in human electrophysiological research is a plus, experience in intracranial human research large plus, Knowledge of cognitive system is a plus, knowledge of neuronal basis
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the requirements specified in Article 113 of the Act of July 20, 2018, Law on Higher Education and Science (Journal of Laws 2024, item 1571 as amended), and who also meet the following requirements: PhD