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Field
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Degree PhD (Division of Mathematics and Natural Sciences) or, alternatively, Dr rer nat Course location Göttingen In cooperation with Max Planck Institute for Multidisciplinary Sciences (MPI-NAT
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Sciences. The programme focuses on conditions, processes, and outcomes of learning with research perspectives ranging from psychology, educational science, medicine, mathematical education, neurosciences
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equivalent in a relevant discipline such as aerospace engineering, mechanical engineering, electrical engineering, computer science/engineering, applied physics/mathematics, or related fields. Prior experience
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Faculty 08: Philosophy and History Faculty 09: Linguistics, Cultures, and Arts Faculty 10: Modern Languages Faculty 11: Geosciences and Geography Faculty 12: Computer Science and Mathematics Faculty 13
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research) and Quantum Universe (mathematics, particle physics, astrophysics, and cosmology). An equally important core research area is Infection Research, in which researchers investigate the structure
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Engineering Research Group) Aim: Develop a mathematical model for analysing reliability and efficiency of medical processes Background Adverse events and preventable failures in healthcare services represent a
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A PhD opportunity at the EPSRC Centre for Doctoral Training in Quantum Information Science and Technologies at the University of Sussex School of Mathematical & Physical Sciences The University
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candidate with: - with an MSc degree in epidemiology, health sciences, public health, (health) economics, econometrics, mathematics, quantitative sociology, (developmental) psychology or a related field
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individual with a MSc degree in computer science, mathematics, chemistry, computational biology or a related subject. The ideal candidate has familiarity with one or more of the following areas: algorithmics
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wellbeing. We are committed to progressing the diversity and inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and