14 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions in Latvia
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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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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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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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(dmitrijs.stepanovs_1@rtu.lv ). Deadline is 2 February. All applications will be reviewed on a rolling basis and the position may be filled before the deadline. Where to apply Website https://www.eurosciencejobs.com
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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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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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TechnologyCountryLatviaCityRigaPostal CodeLV-1048StreetĶīpsalas 6aGeofield Contact City Riga Website http://www.rtu.lv/en Street Ķīpsalas 6a Postal Code LV-1048 E-Mail cv@rtu.lv cv@rtu.lv STATUS: EXPIRED X (formerly Twitter) Facebook
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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