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atmospheric and climate science, particularly on subseasonal timescales, and experience using machine learning methods. The postdoc will be advised by Dr. Marybeth Arcodia and includes collaborative efforts
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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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HPC environments Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students Knowledge of biology and medicine is a plus Highly
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cases treated in molecular tumor boards. Develop and implement bioinformatics pipelines to identify biomarkers and therapeutic targets. Collaborate with clinicians and researchers to translate
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learning techniques. Ability to work in an interdisciplinary and collaborative environment. Industrial experience or prior involvement in collaborative projects is an asset. Application Applications should
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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motivated Postdoctoral Researcher to join an applied research project focused on the development of AI/ML-based methods for the automation of laser processing techniques. In close collaboration with our
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conventional electrolytes. This position is part of the Einstein Visiting Fellowship of Professor Mark. E. Tuckerman from New York University, and the project will be in collaboration with Professor Tuckerman
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 21 days ago
sustainable development. Collaborations with Mathematics and Computer Science The post-doc will also affiliate with Lund's Centre for Mathematical Sciences, renowned for research in machine learning
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to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical