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Description The Berlin Mathematical School is the graduate school of the Cluster of Excellence MATH+ ( http://www.mathplus.de ) and a joint endeavor of the mathematics departments
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. There is a robust body of research showing that children with good spatial abilities are better at maths and science (Atit et al., 2022; Hodgkiss et al., 2021). Relatedly, Spatial ability in childhood
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initially be for one year, renewable for additional years following performance review and funding availability. Basic Qualifications Ph.D. in computer science, applied physics, applied math, or a related
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with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http
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/Computer Engineering, Computer Science, Applied Maths or related. Strong skills in AI techniques/ML/optimisation (Python/Matlab); familiarity with probabilistic modelling, time-series or control/power
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life sciences degree, A-Levels or above in maths, statistics, or computing modules are desirable. With a physics or maths degree, life sciences modules at undergraduate level are essential. - Skills and
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. dissertation, research project, report) – this could be within an academic or professional setting. Maths or Physics A-level *Significant quantitative component examples include statistics, bioinformatics, maths
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, Data Science, AI, Math, Physics, Geoinformatics, or a related quantitative field; applicants from environmental sciences are welcome with strong programming skills (preferably in Python). Experience with
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-minded candidates who want to develop and use Franklin technologies in novel, interdisciplinary research spanning our different scientific challenges . We welcome candidates from any scientific, maths
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computing and the use of GPU clusters. Entry Requirements Acceptable first degree - Computer Science/Physics/Maths The standard minimum entry requirement is 2:1. First class in bachelor degree or a master