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focuses on single-cell genomics, biotechnology, and bioinformatics. The project involves transcriptomic and genomic profiling of single microbes. The post-doc will work on machine and deep learning methods
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hydrogen-ammonia co-combustion using experimental techniques, high-fidelity numerical simulations, and machine learning” The competition is open to applicants who meet the detailed requirements set out in
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, reporting research progress. Specific Requirements Requirements: PhD degree in biotechnology, biology, or a related discipline obtained after 2023. Very good command of English and excellent communication
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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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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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, particularly radionuclides, on a continental scale. The aim is to develop a new class of inverse Bayesian models, STE-EU-SCALE, combining innovative forward dispersion models, machine learning techniques, and
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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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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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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