16 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions in Latvia
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accordance with FAIR principles, combined with skills in statistical analysis, machine learning and/or data science. Experience with programming languages such as R, Python, or similar will be considered
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9 Dec 2025 Job Information Organisation/Company University of Latvia Department Human Resources department Research Field Computer science » Informatics Computer science » Computer systems Computer
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to contribute to a project at the intersection of biotechnology, drug development, and computational analysis. Candidate will be involved in: Collaborating with computer scientists and engineers to develop AI
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into actionable insights, novel tools, and impactful research outcomes. Key Responsibilities Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning
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reference contact persons. More information https://biotransform-msca.eu/open-position-doctoral-candidate-11/ Where to apply E-mail gintssmits@osi.lv Requirements Research FieldChemistry » Organic
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omics and big-data sets using statistical and machine learning approaches. The details on responsibilities, obligations and rights of the position see: https://www.osi.lv/en/vacancies/ Provisional start
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to learn and apply new methods and tools, including health modelling and AI-based solutions Strong organisational skills and ability to work in a collaborative, interdisciplinary environment Excellent
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undertake to acquire the basic competence in the state language in the first year of their tenureship at RTU (Annexes 3 of the RTU Regulation «On Tenured Professorship at Riga Technical University
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) Motivation letter briefly outlining past research experience and future vision Copies of educational documents Website for additional job details https://www.rsu.lv/en/node/286043 Work Location(s) Number
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. The successful candidates will learn how to perform a full cycle of biomaterial development, how to write high-impact original research and review articles, on research metrics and ethics, quality system