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reliability, resilience, and security. Our team is looking for an intern who has strong technical background in machine learning (ML) and artificial intelligence (AI), ideally on large language models, natural
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shape the response to anti-cancer therapy. Recent advances in digital pathology and innovative data analytics including machine learning have enhanced our ability to identify clinically relevant spatial
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statistical and machine learning methodologies to analyze and predict aspects of the collected data With the guidance of Drs. Stuber and Bruchas, develop experimental methodologies related to two-photon imaging
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aspects of data analysis: raw data QC, alignment and pre-processing, primary and secondary data analysis. Learn new approaches and then apply these to undertake a variety of cancer-related analyses
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of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed
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research group (please find further information at https://www.biologie.uni-konstanz.de/gruber ). You will be developing machine learning-based data science approaches for the analysis of Next Generation
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been revolutionized in recent years by machine learned interatomic potentials (MLIP), and questions that were impossible to tackle five years ago can now be addressed. The state-of-the-art approach
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helpdesk technician in this role will work with faculty, staff, and PhD students to troubleshoot and resolve problems with computer hardware and software applications on school issued desktops, laptops, and
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continue to be reviewed until August 31, 2026 or until the position is filled. This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a
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is composed of stereotyped and uniquely identifiable neurons, plus machine learning approaches to computer vision, offers the opportunity to automatically map many connectomes across many animals, and