13 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions in Latvia
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attached separately Where to apply Website https://www.rtu.lv/en/studies/doctoral-studies/admission-phd/application-proces… Requirements Research FieldEconomics » Business economicsEducation LevelMaster
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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 an advantage
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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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incorporate clinical, lifestyle, and nutritional factors to build predictive models through advanced bioinformatics and machine learning. By identifying molecular signatures that distinguish responders from non
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the Law on the State Language must be submitted. In other cases, the candidate undertakes to acquire basic competence in the state language during the first year of their tenure at RTU (in accordance with
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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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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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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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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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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