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Field
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the architecture of the human brain. This project aims to co-develop algorithms for neuromorphic hardware, focusing on the inherent stochasticity in neuromorphic materials. This will pave the way towards solutions
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-develop algorithms for neuromorphic hardware, focusing on the inherent stochasticity in neuromorphic materials. This will pave the way towards solutions for problems in optimisation and sampling, creating
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complex stochastic systems where uncertainties are inherent and data is ubiquitous. These systems span various domains, from manufacturing equipment, to rental systems, to production systems and beyond. In
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; have a track record (evidenced by publications in highly ranked journals), preferably with a profile in one of the following two areas: Operations Research Affinity with stochastic and deterministic
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Job Description The candidate will work on the translation and generalisation of stochastic quantum thermodynamics results into the Bayesian framework introduced by Prof. Scarani’s group
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stochastic and deterministic Operations Research, with ideally a focus on the interface between them. A keen interest, and preferably some experience, in industrial research interactions. An interest in
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for continuing Lecturer/Senior Lecturer roles in Stochastics, Statistics and Data Science. To be successful at Level B we are seeking: PhD in the mathematical sciences or equivalent qualification Demonstrated
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(pre-doctoral) or Research Associate (post-doctoral) will conduct research in stochastic optimisation models and algorithms for energy systems, as part of a bp-ICAM (International Centre for Advanced
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Job related to staff position within a Research Infrastructure? No Offer Description Today, many companies in various industries need to manage highly complex stochastic systems where uncertainties
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, Switzerland) in the group of Professor Xue-Mei Li We seek outstanding candidates working in Stochastic Analysis with emphasis on stochastic differential equations / multi-scale stochastic systems / SDEs