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. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 days ago
well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX
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on developing biochar as a sustainable feedstock for hard carbon anodes in sodium-ion batteries. In collaboration with Besca AB (https://www.bescacarbon.com/ ), this project explores microwave plasma technology
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, coverage), publish at top-tier AI/ML venues, and contribute high-quality research code. Application deadline: 30th January 2026 Where to apply Website https://careers.werecruit.io/fr/idiap/offres
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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in
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providing research support (e.g., data analysis, research design) for student and faculty projects in SHAMP. The anticipated start date for the position is July 2026. Unit URL https://www.uidaho.edu/health
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Minimum Qualifications Undergraduate student who wants to learn about data preprocessing and machine learning tasks Strong attention to detail and basic experience with Python or R are preferred Bowling
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implementation of data processing pipelines (SQL databases, Python scripts, RDF triples), for the structuring of metadata, and for their integration into digital and immersive environments. She/he will work in
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(i.e. machine learning, neural nets, LLMs). Prepare results and design figures for reports and presentations. Manage and manipulate data using requested languages, including Python, R, MATLAB, and STATA
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scripts to process and analyze behavioural and neuroimaging data in languages such as Python, Matlab, or Bash and/or using standard neuroimaging analysis software; Conducts statistical analyses using tools