30 computational-physics-"https:"-"https:"-"https:"-"https:"-"L2CM" positions in India
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in our key strategic fields, including but not limited to: Advanced Integration Technology, Biomedical and Health Engineering, Advanced Computing and Digital Engineering, Biomedicine and Biotechnology
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funding, the Centre brings together a vibrant community of biomedical scientists, clinicians, engineers, physical scientists, and data experts who share a mission to transform the lives of people living
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About the job: The School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queen's University, is seeking to appoint a Lecturer in Artificial Intelligence.This post will be based
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, engaging students and supporting their academic development. What will you be doing? In this role, you will: Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions. Act
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computer lab sessions. Act as a personal tutor, providing academic and pastoral support. Supervise undergraduate dissertations in Data Science / Statistics. Mark exams and coursework and contribute
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needs and performance. Furthermore, we operate hybrid working, with the city of Birmingham, UK, serving as our hub for physical meetings. Our core values include fostering teamwork, and earning trust in
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have active clinical and research programmes in understanding the immunobiology of haematological disease. The postholder will help develop their independent programme of research in molecular immunology
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Informatics Lab in Doha, Qatar, led by Prof. Younes Mokrab. The role will help drive translation-oriented research in the lab, with a focus on genome-phenome correlations in Middle Eastern populations, with
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of Southampton Delhi. The role holder will teach at undergraduate and postgraduate level in courses like Financial Management, Quantitative Finance, Advanced Time Series Analysis, Computational Finance etc and
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The Chief Architect of Centre of Excellence(CoE) for Robotics and Embodied AI will lead DSU’s efforts to build intelligent humanoid and autonomous robotic systems powered by large-scale learning and reasoning. This role focuses on integrating reinforcement learning, sim-to-real transfer,...