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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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14 Jan 2026 Job Information Organisation/Company Rīga Stradiņš University Research Field Computer science » Modelling tools Medical sciences » Health sciences Technology » Medical technology
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23 Jan 2026 Job Information Organisation/Company Rīga Stradiņš University Research Field Medical sciences » Health sciences Computer science » Modelling tools Researcher Profile First Stage
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, sustainable aviation fuel (e-SAF), green methanol, green ammonia, and Fischer-Tropsch-based processes. Relevant experience may include plant operation, process and system modeling, facility design, or
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(Tenured Professor) group in collaboration with international partners Access to professional development opportunities, including PhD enrolment, specialised training, travel, and conference participation A