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policymaking. CBS LAW is a unit under the Department of Business Humanities and Law (BHL) where there are two other units: Entrepreneurship, Ethics and Leadership; and Governance, Culture and Learning. The three
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experiences and skills will be emphasized: Desired knowledge/experiences in: Working with diverse remote sensing data Data science topics particularly machine learning and deep learning. High Performance
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dynamics related to change processes. Governance, Culture and Learning We welcome proposals for doctoral work that relate to governance, including investigation of structures and processes of governance
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relationships within organizations and workplace dynamics related to change processes. Governance, Culture and Learning We welcome proposals for doctoral work that relate to governance, including investigation
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
processing tasks, including machine learning and deep learning [4]–[6], database processing [7], [8], and networking [9]. Near-memory computing (NMC) is a memory-centric computing paradigm that has emerged as
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Skills: High proficiency in Python programming languages. Ample experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and deep learning architectures. Knowledge of GNSS technologies and
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. Increase LIST's visibility in the AI field through publications, presentations and participation in relevant forums and conferences. Deep scientific and technical expertise, demonstrated by publications and
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: Entrepreneurship, Ethics and Leadership; Governance, Culture and Learning; and CBS Law. Faculty within these groups have research backgrounds in various areas of law, political science, sociology, philosophy
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School of Medicine. Research at the Center focuses on identifying biomarkers and subtypes of autism to advance precision medicine approaches. Studies involve clinical testing and deep phenotyping, eye
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excellent knowledge of educational technology/learning sciences, XR technologies, and AI, as well as deep knowledge of advanced data analysis methods. The researcher will contribute to multiple cutting-edge