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at the interface of Quantum Information and Computation with the study of Complex Quantum Many-Body Systems. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts
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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | about 1 month ago
Applicants should hold an MSc (or equivalent degree) with a strong background in physics, chemistry, mathematics or computer science, and have some knowledge of solid-state science, excellent English language
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and computer science and be fluent in oral and written English. Specific depth in mathematics, computer security or encryption is valuable but not a requirement. It is an advantage if you have previous
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apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics
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Your job Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD opportunity could be
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an excellent education and/or research track record proven by relevant experience, publications, etc. The applicant is expected to have: A MSc or equivalent degree in combined Computer Science and Mathematics
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/phd-in-connectomics-analysis-of… Requirements Specific Requirements MSc in any of the of the following fields: Neuroscience, Mathematics, Physics, Artificial Intelligence, Informatics (webdevelopment
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degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently
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Engineering, Physical Sciences, and Mathematical Sciences. Why chose UCL? UCL has a history of academic excellence and is consistently ranked among the world's top universities, with many of our faculties
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Requirements: Ph.D. in mathematics, applied mathematics, physics, computer science, engineering, or a related quantitative field. Strong knowledge of differential equations and applied mathematical modeling