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; machine learning or deep learning; pharmacogenomics; computational biology; drug discovery; network medicine; NLP/large language models; or precision medicine 2. Strong programming skills in Python, R
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working meetings with key institutes on campus to learn informatics techniques to increase efficiency of EHR data entry. ●Experience with utilizing python, R, and other statistical software ●Lead scientific
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l'Environnement (IGE, http://www.ige-grenoble.fr ) is a French public research establishment under the supervision of CNRS Terre & Univers, IRD, Université Grenoble Alpes (UGA), Grenoble-INP and INRAE. It employs
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, mechatronics, robotics, Computer science, or a related field Experience in machine learning, computer vision, signal processing, or condition monitoring Strong programming skills in Python and experience working
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, physics, computer science or related discipline. Experience: Python programming for scientific applications. Experience with AI/ML algorithms. Technical Knowledge Skills: Computer programming, particularly
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in robotics, social force modeling, simulation, robot navigation. Proficiency in programming software/languages such as Python and C++ is required. Proven track record and professional experience in
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National Institute for Materials Science (NIMS) | JP Nagar III Phase, Karnataka | India | about 2 months ago
-on experience in implementing and deploying deep learning models using Python and frameworks such as PyTorch or TensorFlow. Technical expertise in Large Language Models (LLMs), with practical experience in
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to explore the dynamics of tropical forests responding and feeding back to climate. The position is part of the NGEE-Tropics project (https://ngee-tropics.lbl.gov ), a long-term, DOE-funded effort to
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, granularity, semantics, attributes) using QGIS and Python for data exploration and preprocessing - designing an approach for automatic change detection using AI techniques (classification, clustering
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, and life insurance Learn more about working at UNL: https://go.unl.edu/aboutus The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual