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intelligence, computer vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in coding (C/C
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, biomedical sciences, brain-computer interface, data science, psychology and language, neuroeconomics, computational neuroscience and artificial intelligence. CCBS consists of four research platforms
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for future colleagues in all fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks
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particle physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning, effective field theories, positivity bounds
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game design and development (skills: Unity, Unreal) Fundamentals of Machine Learning, data mining, and Big Data analytics Neuroscience for Education (EEG, EMG, GSR, EDA, HR, ST, RR, HRV, BPR, etc.) Image
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game design and development (skills: Unity, Unreal) Fundamentals of Machine Learning, data mining, and Big Data analytics Neuroscience for Education (EEG, EMG, GSR, EDA, HR, ST, RR, HRV, BPR, etc.) Image
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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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health, such as, bioinformatics, cancer genetics, health informatics, AI for bioscience, machine learning, biomedical big data, public health, epidemiology, theoretical/quantitative biology, statistical
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positions, tenured positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Quantum Algorithms, Quantum Machine Learning, Quantum Key Distribution
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researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. ESSENTIAL QUALIFICATIONS/EXPERIENCES PhD Graduation; Strong background in deep learning, machine