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biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player
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projects, specifically in Cardiology, under supervision. Responsibilities include data entry in EDC, Redcap, and CTMS, resolving simple queries, extracting data from medical records for study forms, and
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orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ . Minimum
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Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) | Toulouse, Midi Pyrenees | France | 14 days ago
: https://www.slice-dn.eu/ LinkedIn: https://www.linkedin.com/company/slice-dn/ Reference to data protection: The personal data you submit will be processed at TU Dresden in accordance with its Data
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. Further information about the University and the School of Health Sciences can be found at http://www.surrey.ac.uk/school-health-sciences . For an informal discussion please contact Professor Cath Taylor
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for Aotearoa New Zealand and position the organisation as a globally recognised leader in its field. For more information, visit https://www.earthsciences.nz/ The Role Earth Sciences NZ is looking for a Change
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and SPSS, for large and complex data analysis What We Offer The appointment will commence as soon as possible on a 1-year temporary basis, with the possibility of renewal subject to satisfactory
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) Position C Powering data-driven sustainability assessment tasks in agri-food systems with IoT-data Datlakes and Large Language Models. Aarhus University (DK) & Université Libre Bruxelles (BE) Position D
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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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-of-cellular-metabolism/ The position is for you if: …you have strong data analysis skills and enjoy working with large, complex datasets (e.g., single-cell, spatial, imaging-based or other omics data) …you have