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Field
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Honours degree (or equivalent) in an appropriate discipline such as Computer Science or Mathematics. Applicants are expected to have excellent mathematical skills as well as an interest in discrete
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year Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme
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sciences (including meteorology and oceanography), ecology, mathematics, computer science, engineering, economics, or political science. Students who are still working on their Master's thesis are also
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ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling to pioneer innovative sealing solutions. What We Offer Full 4-year Funding for UK applicants
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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
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dedicated PhD student with a 1st class or 2:1 degree in the field of Engineering, Mathematics, Physics, Architecture or Computer Science. A MSc degree in a relevant area is desirable though not necessary
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, such as engineering, physics, statistics, or mathematics (minimum requirement is a four-year Bachelor’s degree with honours) The research area The AITHYRA-CeMM PhD Program will focus on the thematic areas
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 7 days ago
Assistant position, with the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Mathematics Economics Management Science & Engineering (more...) Computer Science and Electrical Engineering
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can have a background in statistics, mathematics or agriculture, but must have experience with statistical modelling, generalized linear models, linear mixed models, and strong programming skills