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position in our group on experimental realization and diagnostics of multiphase flow problems. In our project we aim to develop reliable diagnostic tools to help designing efficient removal/mixing systems
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 4 days ago
digital, analog, mixed-signal, and radio-frequency electronics. Alternatively, if a candidate has a background in physical electronics, experience with modeling and characterization of printed devices is
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research programme takes a mixed methods approach. The successful applicant will have a key role in the qualitative work package which aims to understand multi-stakeholder perspectives of the C(E)TR process
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, if they are admitted. The impact of C(E)TRs on clinical and other outcomes has not been extensively studied. The OptiCaT research programme takes a mixed methods approach. The successful applicant will have a key role
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topics in both discrete and continuous probability. Recent areas of focus include random walks and percolation on strongly correlated structures, interacting particle systems, and mixing times of Markov
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simulators; electrical/electronics background with specialization in neural networks/mixed/analog signals and research papers demonstrating expertise in any of the above areas. Salary: $90k - $120k + stock
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This postdoctoral position aims to explore the use of Mixed Reality (MR) in the context
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characterisation of the parasite�s quorum sensing signalling pathway (Mony, MacGregor et al,�Nature�2014,�PMID:�24336212; Rojas et al,�Cell, 2019,�PMID:�30503212). In the field, trypanosome infections are often
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topics in both discrete and continuous probability. Recent areas of focus include random walks and percolation on strongly correlated structures, interacting particle systems, and mixing times of Markov
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Acoustic Sensing'), we are looking to recruit a post-doctoral student to work on very low frequency signals recorded by Distributed Acoustic Sensing (DAS). This project aims to explore the capabilities