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record in any one of the mentioned fields will be considered very seriously for these positions. Requirements The candidate must have a PhD degree in mathematics or theoretical physics. The candidate must
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related to staff position within a Research Infrastructure? No Offer Description The Mathematical Institute is looking for a PhD candidate in Statistics to join the NWO project “DynoSurv: flexible
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 7 days ago
to develop your innovation and entrepreneurship skills at the cutting-edge of AI/ML and biomedical research? If yes, apply now of our 15-20 fully funded PhD positions here: https://apply.cemm.at/ Supported by
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, or Mathematical Engineering. Degree or Bachelor’s in Physics, Computer Engineering, or Economics (with a specialized Master's/PhD in Mathematics/Statistics). Plus a PhD in a related field. **Languages/level
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into different types of neurons. In this PhD project we will work to further develop these human stem cell-based models as a platform for robust and reliable identification of neurotoxic agents. To achieve
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student courses including but not limited to Convex Optimization, Probability Theory, Generalized Linear Model and extra. Job Requirement Candidates should have a PhD degree in a related discipline. The
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Searching for Sterile Neutrinos and other Beyond the Standard Model phenomena with SBND School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Rhiannon Jones, Prof E Daw
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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qualifications at PhD level. Prospective applicants for position should have the following qualifications: - PhD. degree in computer science, mathematics, electrical engineering, communications engineering
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others, pseudospectra theory, and empirical data from DRAGNet and global demographic databases (COMPADRE, COMADRE, PADRINO). The project combines mathematical modelling, simulation, and empirical synthesis