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at FSU is committed to educating students about the realities of human social interaction and offers students sociological tools to address current issues and problems encountered in social institutions
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be enrolled in a minimum of 6 credits for the semester and maintain a 2.0 GPA Must qualify for Work Study or RSP through Student Financial Services Be familiar with Electrical & Instrumentation tools
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Research Scientists as part of its new initiative, Polymathic AI, Building Foundation Models for Science. Recent advances in machine learning, including Large Language Models and diffusion based generative
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research programme to which the enclosure is linked: Methods and tools
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systems in the research project, including testing and troubleshooting. Implement and test machine learning models, which may involve data preprocessing, model training, and evaluation. Create and maintain
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development of decision support tools https://www.upv.es/entidades/SRH/conypi/A1272498.pdf Where to apply Website https://sede.upv.es/oficina_tactica/?idioma=en#/inicio Requirements Research FieldEngineering
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complex machine learning and computational cancer analyses throughout the training period. Will be expected to develop, adapt, and implement new research computational approaches and tools. Analyzes
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
Computer science » Modelling tools Technology » Biotechnology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 5 Jun 2026 - 23:59 (Europe/Ljubljana) Country Slovenia Type
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marketing campaigns across digital and traditional channels. Experience with CRM systems, email marketing platforms, and analytics tools is preferred. Strong understanding of brand strategy, audience
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database