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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 12 days ago
the possibility of extension, offering the opportunity to contribute to cutting-edge projects at the interface of fundamental and translational neuroscience. Conduct independent and collaborative research using in
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the University of Poitiers as well as collaborators in France and abroad. The post-doc will have the possibility to interact and learn from scientists from these diverse backgrounds. We are looking for motivated
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population where people from a wide variety of backgrounds learn from one another, share ideas, and work collaboratively. UCC is committed to being an employer that recognises the value of diversity amongst
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or experience in nontraditional research publication methods and collaborative notetaking software (e.g., Roam Research, Obsidian, Notion). ? Familiarity with cloud computing and machine learning techniques
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, research, and service. With a robust benefits package, collaborative atmosphere, and focus on work-life balance, CSU is where you can thrive, grow, and make a lasting impact. Review our detailed benefits
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the project. Collaboration The postdoc will collaborate closely with: Papa Assane Fall (PhD student): for technical aspects related to USM. Alain Tchana (Professor): for strategic discussions and scientific
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analytics into the future of infrastructure and technology megaprojects. The appointee will conduct original research, publish in top-tier journals, collaborate with academic and industry partners, and
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immunology, deep learning models and/or artificial intelligence, as well as hands-on experience with cell culture, cellular/molecular biology, and animal studies. The ideal candidate should be self-motivated
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, Mathematics, Physics, or a closely related field. Proficiency in machine learning libraries (e.g, scikit-learn, PyTorch, and transformers) and data analysis tools (e.g., pandas, NumPy, and CuPy). Hands