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Midlands Graduate School Doctoral Training Partnership | Leicester, England | United Kingdom | 3 months ago
Bridger (University of Leicester) and Dr Richard Tunney (Aston University) and will develop the candidate’s advanced quantitative skills in formal mathematical modelling and simulation, experimental design
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Science Foundation funded STEM (Science, Technology, Engineering and Mathematics) Academy. As the second oldest land-grant institution in the state of Arkansas, the mission of this No Excuse University
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. Your Profile: A Masters degreee with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
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, Engineering, Environmental Protection, Fine Arts, Genomics, Geophysics, Indigenous Affairs, Mathematics, Population Health, Public Policy, Statistics, Sustainability, Unmanned Aircraft Systems, and Veterinary
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of Mathematical Sciences, University of Bath. A tailored training package will be provided for the post-holder to develop their knowledge, research and career skills. As a member of Research Staff at the University
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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language
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Grant First Nations CVD Grant Application is required. Key scholarship details Application status Open for applications Benefit amount Up to $200,000 Eligible study level Honours, Graduate coursework, Graduate research Eligible student type Domestic students Eligible study stage Future study,...
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to work with Bath colleagues engaged in energy research across the University, including advanced mathematics, statistics, and computer sciences Further information This role is offered on a full time (36.5
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Data Sciences (3 ) Engineering (2 ) Mathematics and Statistics (4 ) Other Non-Science & Engineering (2 ) Social and Behavioral Sciences (2 ) ORISE GO The ORISE GO mobile app helps you stay
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international conferences Supervise student theses Your Profile: Excellent Master`s degree with a strong academic background in computational engineering, mathematics, computer science, physics, engineering or a