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nature, involving optimization, control, data science, and/or machine learning problems will be evaluated positively. An interest in issues related to the challenge of the transition will also be
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complex omics data. Therefore, knowledge of programming languages such as Python or R is necessary and prior experience with data science, high-throughput omics, Linux command line, machine learning and
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experience with data analysis Enthusiastic team player Basic understanding of immunology Desirable but not required Experience in single-cell or spatial data analysis Machine learning experience Key personal
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-Molecule Drug Discovery Strong foundation in computational methods (e.g. docking, molecular dynamics, QSAR, machine learning) Experience working across diverse target classes Demonstrated impact on
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strong background or interest in one or more of the following areas: computer vision, machine learning, signal processing, and computer graphics. You have good programming skills (e.g., Python, C
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communications systems with experts in wireless communication, signal processing, digital, analog and mm-wave design, and machine learning. This is a unique opportunity to develop innovative, multi-disciplinary
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institutes, 5 learning centres and 18 libraries. UCLouvain also has two university hospitals. UCLouvain is a major player in the transition to a sustainable society. The challenges of the ecological crisis
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and Delivery: Design and develop training programs on Data Science and AI topics, including machine learning algorithms, data visualization, and statistical analysis. Provide foundational sessions about
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complex omics data. Therefore, knowledge of programming languages such as Python or R is necessary and prior experience with data science, high-throughput omics, Linux command line, machine learning and
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security and machine learning, security measures and usability aspects of security, security of distributed systems, as well as anonymity and privacy issues. Preference may be given to candidates who develop