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projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
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dedicated to discovering and refining the core mechanisms that will enable machines to learn continuously, make robust decisions in complex environments, and evolve autonomously. Key research directions
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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug
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of Hamiltonians. Requirements: PhD in physics or electrical/ mechanical engineering. Knowledge andprofessional experience: Knowledge of quantum mechanics,DFT simulations, programing machine learning tehcniques
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are not limited to: Machine Intelligence, AI for Science, Scientific Computing, Robotics, Complex Systems Modeling, Control, and Decision Making, Autonomous Agent and Multi-Agent Learning, Computational
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environments You have proven experience in applying statistical methods to large datasets. Familiarity with methods in machine learning and/or statistical inference is desirable but not essential Experience in
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· To learn and develop new research skills outside own discipline · Any other reasonable duties commensurate with the post that may be requested You should hold a PhD in pharmacy, biomedicine, neuroscience