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automation and simulation-driven optimization of high-frequency systems using machine learning * development of optimization algorithms and numerical modeling procedures * development of simulation models
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laser light operation of general laboratory equipment as well as specialized instruments used in laser laboratories operation of computer equipment, email, and standard software (e.g., Word, PowerPoint
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patterns across multiple annotation types. The core aim is to generate new scientific insight by associating LCRs with their functions through a combination of expert curation and modern machine learning
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• experience in working with a synthesizer (knowledge of phosphoramidite chemistry preferred) • ability to prepare the text of a scientific publication and present the results • knowledge of computer programs
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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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problems in partial differential equations inspired by cutting-edge algorithms in statistics and machine learning Type of programme/project/ undertaking MAESTRO-16 Funding institution National Science Centre
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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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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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spoken and written; 13. familiarity with Nextflow or Snakemake will be an additional asset; 14. experience in machine learning will be an additional asset. LanguagesENGLISHLevelGood Internal Application
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FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Proven track record of publications in computer graphics, generative models, or deep learning for 3D objects; Proficient programming