20 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" 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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, training, and involvement in institutional data management initiatives. A collaborative team committed to open science and high-quality research data practices Duration Permanent Eligibility We are searching
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Systems and Computer Networks at the Institute of Applied Computer Systems (IACS), Faculty of Computer Science, Information Technology and Energy (FCSITE), within the indicative research theme Photonics
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/ the Institute of Applied Computer SystemsCountryLatviaState/ProvinceDraftCityRigaPostal CodeLV-1048StreetZunda krastmala 10Geofield Contact State/Province Draft City Riga Website http://www.rtu.lv/en Street
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institutional data management initiatives. A collaborative team committed to open science and high-quality research data practices Duration Temporary (6 months) Employment type Part-time (0.25 FTE) Eligibility We
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trustworthiness of AI systems. Key research directions include (but not limited to): adversarial machine learning, data poisoning and model manipulation, secure and privacy-preserving AI, trustworthy and
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the design of lifelong learning courses focused on smart systems. Where to apply E-mail tenure@rtu.lv Requirements Research FieldEngineering » Electrical engineeringEducation LevelPhD or equivalent Skills
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accordance with the Official Language Law. In other cases, the appointed professor is expected to acquire basic competence in the State language during the sixth year of appointment at RTU. Applicants must
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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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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