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Field
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independent research aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as
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This position offers the opportunity for a recent PhD in art history or a related field of visual study to enter the field of academic museum education. At the Herbert F. Johnson Museum of Art, we
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Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position that aims at transforming flow field measurements into aerodynamic forces by pressure and friction
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Qualifications • PhD in Biomedical Engineering, Mechanical Engineering, Electrical Engineering, Robotics, or a related engineering field. • Experience in robotics design, mechatronics, electromechanical systems
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of work: We combine a unique methodology of recording the activity of single neurons in humans with advanced analytical approaches, such as machine learning and multidimensional analyses, to better
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to employees, depending on eligibility: Generous annual leave: 35 Days Annual Leave plus Bank Holidays & Closure Days Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance Programme
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and qualifications A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form
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Time Posting Number 26FA0706 Posting Open Date 08/10/2026 Posting Close Date 08/21/2026 Qualifications Minimum Education and Experience PhD in Materials Science and Engineering or related fields
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calculations Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed before the position begins. Additional information
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supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer science