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The successful applicants will form part of the new team which will develop and deliver the Construction and Project Management (CPM) MSc programme in GIFT City, Gujarat, India. The CPM programme
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. Candidates must have: A PhD with a strong component in machine learning and deep learning (or a PhD defense planned for 2025), Research contribution in deep learning and application domains such as computer
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program, as well as for a short description of the departments research interests please see the website . Application Materials Required: Further Info: https://theory.tifr.res.in/postdocads/home.php +91-22
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interdisciplinary topics, for example, candidates specialising in Machine Learning and Data Science, Quantum Computing, Theoretical Computer Science, Financial and Actuarial Mathematics, Mathematical Economics
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Criteria: A completed PhD (or very close to completion for Lecturer) in Finance/Financial Analytics or cognate disciplines. An established programme of research activity and dissemination of original, high
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Management/Operations Management/Operational Research or cognate disciplines. An established programme of research activity and dissemination of original, high-quality research in Information Systems/ Digital
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Engineering, Cell and Developmental Biology, Synthetic Biology & Biomanufacturing, Genetics & Genomics/Transcriptomics, Metabolomics & Proteomics, Structural Biology, Systems & Computational Biology, Data
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record of scholarly learning and teaching in UG and/or PG programs, including innovative curriculum design Emerging reputation in research and scholarship with evidence of an emerging program of research
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University of Southampton Delhi. The role holder will teach at undergraduate and postgraduate level in courses related to quantitative and/or computational finance and engage in other necessary educational
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: Many courses in JSLH incorporate field-based learning. Mentorship: Each student is assigned a faculty member as a mentor that s/he meets each fortnight to assess their progress in the programme. Training