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foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in
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/scholarships/scholarship-policy-and-procedures The Opportunity This PhD scholarship forms part of a collaborative research program on digital transformation, data practices, and everyday life in Indonesia
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scholarships programs, please also see our partners' websites. Information describing the number and value of scholarships awarded is indicative. Looking for more study options? Courses and career pathways
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company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve A wide range of training and professional development opportunities A respectful and
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of the University of North Texas System College of Pharmacy (UNT-SCP) will contribute to the development of the educational, research, and service programs of the Department. The faculty will report to the Chair
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science to improve health outcomes for women and their families in public healthcare settings. Your PhD research will form part of a wider research program focused on implementing lifestyle improvement
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mathematics, or a related field. The candidates for the PhD position will be assessed on the following criteria: Strong skills in probabilistic modelling, machine learning, or simulation techniques. Programming
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with substantial research experience will be highly advantageous. Experience in computer programming will be essential. Studentships are open to home students only. The deadline to have completed and
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analysis and at least one programming language (e.g. R, Python, MATLAB); Interest in sustainability and evidence-based environmental research. Desirable Knowledge of ecological survey design and biodiversity
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diffraction, spectroscopy, thermodynamics, or electron microscopy as well as knowledge of basic programming are meritorious. Consideration will also be given to good cooperation skills, drive and independence