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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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for a Professorship (W2) (5 years/tenure track) of Statistical and Machine Learning in the Life Sciences, combined with the lead of a research group Computational Statistics & Dynamical Systems for Life
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Norwegian University of Life Sciences (NMBU), within the Faculty of Science and Technology(REALTEK), invites applications for a PhD position in Applied Causal Machine Learning. The position is affiliated with
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or machine learning, or related discipline required by the time the appointment begins. Additional Qualifications Demonstrated strong commitment to teaching and advising is desired. Special
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welcoming, caring, healthy, and equitable community where students, faculty, and staff with different backgrounds, perspectives, abilities, and experiences can learn, innovate, and work in an environment
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SPECIFICS Postdoctoral Scholar (Machine Learning or Artificial Intelligence in Molecular and Cellular Biology) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS
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experience-dependent plasticity. Our research combines structural and functional neuroimaging, EEG/MEG, behavioural methods, computational modelling, automated neuroanatomical phenotyping, machine learning and
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perspectives across a variety of domains and complement existing strengths within these departments in bioinformatics, artificial intelligence and machine learning, and expand cutting-edge initiatives including
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perspectives across a variety of domains and complement existing strengths within these departments in bioinformatics, artificial intelligence and machine learning, and expand cutting-edge initiatives including
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excellent oral and written communication skills in English. Should be able to drive a truck and trailer or be willing to learn how to do so. Proficiency with common business computer programs will be