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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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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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) for the Romanian language ● programming skills in Python; knowledge of deep learning, machine learning, scikit-learn, Hugging Face, transformers, and LLMs Specific Requirements ● Collecting human-subject data using
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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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Teaching Allocation Percentage (TAP) 50% Anticipated Start Date 11/5/2026 Position End Date (If Applicable) DUTIES Students examine current computer issues and selected topics from these, including
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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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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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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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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