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Your position Your focus will be archaeozoological and isotope analysis of Neolithic lakeshore settlements in Switzerland. This PhD position forms part of an SNSF Weave/Lead Agency Project entitled 'Deciphering Lakeside Settlements' (grant number 10002949). The successful candidate will analyse...
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Sh.24.3 PhD in Sound Analysis for Predicting Category 1 Ambulance Calls School of Computer Science PhD Research Project Competition Funded UK Students Dr Ning Ma, Prof Jon Barker Application Deadline: 21 August 2025 Details Project type: Academic-Led project Supervisors: Dr Ning Ma and...
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Economics Mathematics Statistics Management Science & Engineering (more...) Computer Science and Electrical Engineering
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, Flemisch 2020. DuMuˣ 3 - an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling. Computers & Mathematics with Applications. https://doi.org/10.1016
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including interdisciplinary communication and collaboration. You will also be offered
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programming, modelling, and data analysis skills. Experience with formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral skills
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Dr. Lukas Lüchtrath (WIAS). It includes the possibility to pursue a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong
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Communications Dr Jessica Jay, School of Mathematical Sciences Dr Dan Fretwell, School of Mathematical Sciences Qualifications and Experience We are looking for motivated individuals who are eager to tackle real
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record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of