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with structures. Required competence is good programming skills in MatLab and Python, and preferably with knowledge about probabilistic analysis and statistics. Your immediate leader is Head of
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outstanding programming skills using popular programming languages (e.g., Python). Candidates should also be able to work independently, employ critical thinking, perform team science, and have good oral and
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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a
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Description SUMMARY : Texas A&M Transportation Institute seeks a Software Engineer I to work in Bryan, Texas. Must apply at: https://tamus.wd1.myworkdayjobs.com/TTI_External . JOB DUTIES: Develop routine and
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Kurt Schwabe Institute for Measuring and Sensor Technology e.V. (KSI) Meinsberg | Waldheim, Sachsen | Germany | 3 months ago
: - Development of workflows for automated biomolecular conjugation reactions - Work with robotic liquid handling, spectroscopy, and chromatography - Implementation of Python-based automation and data analysis
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Posting Summary Logo Posting Number STA00570PO26 Job Family Research Job Function Geographic Information Systems USC Market Title GIS Analyst Link to USC Market Title https://uscjobs.sc.edu/titles
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postdoctoral researcher to join our group at the Institute of Genetics and Development in Rennes (IGDR), France (https://igdr.univ-rennes.fr/en ). Research in the Cyclochondria team led by Giulia Bertolin (https
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co