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- Adam Mickiewicz University, Poznań
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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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) Experience with NGS, flow cytometry, or digital pathology. Good command of English. Strong motivation, passion for learning, and commitment to ongoing projects. Proactivity, independence, and willingness
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Research Institute (WIB) from the Polish Science Fund. The primary objective of this Research Team is to develop highly effective therapeutic mRNAs. To learn from the existing mRNA vaccines (Krawczyk et al
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; • characterization of quantum correlations, entanglement, nonlocality; • machine learning for optimization problems. Website for additional job details https://mfi.ug.edu.pl/strona/112497/konkurs-na-stanowisko-post
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of the Foundation for Polish Science ● Please learn more about career development opportunities at the University of Warsaw Eligibility criteria ● the candidate’s research achievements, including publications in
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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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. 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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working hours funding for language learning co-financing of training and courses additional days off for education life insurance pension plan savings and investment fund preferential loans additional
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advanced microscopic imaging and flow cytometry with imaging. It is not necessary to master all of these techniques, as this project will be carried out in cooperation, but there is an opportunity to learn
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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