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of engineering, physical sciences, and mathematics. Pay and Benefits Pay Range: $61,008 - $65,000; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website
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Geography / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC Santa Barbara Position overview Position title: Postdoctoral Scholar with Center for Spatial Studies Salary range
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Scholar in the Department of Geography Job #JPF02989 Geography / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC Santa Barbara Position overview Position title: Postdoctoral
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Experience in devising and developing novel machine learning algorithms Hands on experience with ROS and physical robots Excellent mathematics skills, particularly in areas relevant to robotics and AI
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mathematics skills, particularly in areas relevant to robotics and AI Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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the Director of Center for Music in the Brain. Your competences You have academic qualifications at PhD level, for example within the following areas of neuroscience, engineering, mathematics, medicine
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About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa....
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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will play a pivotal role in advancing research in artificial intelligence (AI), energy-efficient computing, foundational mathematical models, high-performance computing (HPC), dimensionality reduction