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Field
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(e.g. reports, policy documents, gray literature, or citizen science observations), Apply advanced statistical, machine learning, and AI techniques to analyze complex datasets and uncover actionable
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robots, robotic manipulators, or locomotion systems. Knowledge of machine learning, reinforcement learning, imitation learning, or computer vision techniques for robotics applications. Strong analytical
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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possible renewals, a cumulative period of four years of research fellowship intended for doctoral students. Preferential factors: Research experience in the areas of Bioinformatics and Machine Learning
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engineering, information systems, geography, spatial planning, remote sensing and GIS, data science and advanced analytics, statistics and information management, as well as geographic information science and
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ecology. Equipment Use of personal computer and proficiency in software and research statistical applications. Use of gas chromatography-mass spectrometry (GC-MS) and related research equipment. Working
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Programme under Portugal2030 and the European Union, operation code COMPETE2030-FEDER-02975500 (n.º 24829) taking place at the Department of Informatics of the University of Beira Interior(http
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to the breadth of resources and facilities available to members of Harvard University. For more information about the Kempner Institute Research Fellows program, please visit our website at https
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contribution pension • 29 days annual leave plus bank holidays, along with Christmas closure • Ride to work and EV car scheme available For more information, please see University of Manchester Benefits . You
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School please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be on site 2 days a week. Although we can accommodate working from home for this role