18 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in Lithuania
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Contact City Vilnius Website https://www.santa.lt/about-us/ Street Santariskiu st. 2 Postal Code 08661 E-Mail hotc@santa.lt STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options
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, https://orcid.org/0000-0003-3224-2103 , putinas.kalinauskas@ftmc.lt Topic Description: The development of efficient and stable photocatalysts composed of earth-abundant elements is a central challenge for
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Technologies, ORCID: https://orcid.org/my-orcid?orcid=0000-0001-7930-1751 Topic Description: Smart textile technologies are rapidly advancing, making the formation of conductive tracks directly on textile
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applying biofouling‑resistant electrodes in biofuel cells and biosensors. Where to apply Website https://www.ftmc.lt/phd-admission-and-2026-research-topics/ Requirements Research FieldChemistryEducation
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in Baltics, as part of the Electrochemical Energy Conversion Lab within the Department of Chemical Engineering and Technologies. Where to apply Website https://www.ftmc.lt/phd-admission-and-2026
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monitoring of plastic pollution across riverine, coastal, and urban ecosystems, strengthened by both scientific and citizen-science methodologies. Where to apply Website https://www.ftmc.lt/phd-admission-and
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applied machine learning. Location: SustAInLivWork Centre of Excellence (CoE) (Artificial Intelligence Centre of Excellence at Kaunas University of Technology (KTU)), Kaunas, Lithuania. The role requires a
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of professional experience in Python, C#, and Java, and extensive hands-on work with state-of-the-art machine learning frameworks (PyTorch, TensorFlow, JAX, Hugging Face Transformers). Demonstrated expertise in
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OF ARTSCountryLithuaniaCityVilniusPostal Code01124StreetMaironio St. 6 Contact City Vilnius Website http://www.vda.lt/en Street Maironio St. 6 Postal Code LT-01124 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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systems, copilots, AI assistants, no-code/low-code AI tools). Understanding of AI system deployment concepts and practical constraints relevant to business environments. Familiarity with machine learning