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using Machine Learning who has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine learning or a related field experience
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developing qualification and certification approaches, high-quality reusable training materials, and a common digital platform to make HPC training more accessible and coherent across Europe. The University
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distributed decision-making. Applicants must have a PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Applied Mathematics, Mathematics, or a closely related discipline, and are within
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using immunohistochemistry, confocal imaging, whole-cell patch-clamp electrophysiology, and mouse tissue processing to investigate how neural circuits, synaptic physiology, and neuroinflammatory pathways
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meetings, contribute to grant applications, and build an independent research career in cancer immunology and neuro-oncology. Minimum Requirements PhD, MD, MD/PhD, or equivalent doctoral degree in immunology
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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digitalization of the built environment. Applicants must hold a PhD in Civil Engineering, Construction Engineering and Management, Computer Science, Cybersecurity, Electrical Engineering, Robotics, Artificial
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Infrastructure? No Offer Description Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining
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how Muslim institutions evolve in interaction with constitutional frameworks, state institutions and wider society, creating a lasting research resource for comparative scholarship on Islam in Europe
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, digital image correlation (DIC), and microscopic analysis. Practical proficiency in MS Office and MATLAB. At least 12 years of professional experience in a technical field focused on materials engineering