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Infrastructure? No Offer Description Work group: IAS-6 - Theoretical Neuroscience Area of research: PHD Thesis Job description: Your Job: This PhD project aims at relating precisely timed spike constellations
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Infrastructure? No Offer Description Work group: IAS-8 - Datenanalyik und Maschinenlernen Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student in machine learning to work within
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Infrastructure? No Offer Description Work group: JSC - Jülich Supercomputing Centre Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student to develop learning-based surrogate
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us
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Your Job: This PhD project aims at relating precisely timed spike constellations across subsets of neurons to low-dimensional manifolds of high-dimensional space of population neuronal firing rates
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Your Job: We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop
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Description The Integrative Research Institute Law & Society (LSI), in cooperation with the DFG Graduate School DynamInt (DynamInt), is currently accepting applications for two doctoral scholarships at Humboldt-Universität zu Berlin funded by the German Academic Exchange Service (DAAD, Graduate...
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-semester Master's degree) or a 3rd cycle which usually takes place in two semesters (concert examination, masterclass or PhD in an artistic subject). Funding for a Master's degree programme/a postgraduate
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inequalities in care homes. Using participatory mixed-methods research, the project will work closely with care staff, residents, managers, and regional partners to explore lived experiences of digital care