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Field
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) and the Wallenberg National Program for Data-Driven Life Science (DDLS ). Our project, Learning 3D Genome Dynamics from Heterogeneous Data , is a 5-year collaboration between researchers at Uppsala
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models for photocatalytic processes.Apply machine learning to experimental datasets from consortium partners.Develop and implement multi-objective optimization algorithms (e.g., NSGA-II, MOPSO).Collaborate
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You work at the Wenckebach Institute for Education and Training (WIOO) of the UMCG, within the Lifelong Learning, Education and Assessment Research Network (LEARN). The UMCG is the largest employer
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empirical sociology and complexity approaches Learn to integrate survey data, network analysis, and agent-based modeling Develop strong skills in data analysis, modeling, and social experiments Collaborate
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Are you highly motivated to do PhD research in mathematical machine learning, with special emphasis on mathematical foundations for explainable AI? If yes, the Korteweg-de Vries Institute
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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. The aim of this project is to develop multimodal generative AI for embodied collaborative agents. This project aims to create AI agents capable of seamlessly collaborating with humans and other agents in
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intrusion detection, anomaly detection, secure testbeds, and mobile app development for healthcare security monitoring. The lab collaborates with faculty, graduate students, and external partners across USNH
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Python, Julia or C++ Knowledge of modern deep learning frameworks (e.g. pyTorch) Knowledge of collaborative software development tools (e.g. Version control: Git) Experience working in Linux shell/cluster
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Faculty of Arts The Faculty of Arts is committed to the development of knowledge with a strong scientific and social impact. With over 500 academic and support staff, we teach and conduct research