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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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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
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sphere. Strong grounding in qualitative, quantitative, or mixed-methods research, with the ability to design and execute interdisciplinary projects. Ability to manage own working time and set internal
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) rigorous evaluation of algorithmicimprovements. An additional point of interest is investigating the link between proofs and (human-understandable) explanations. The successful candidate will perform
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. Regular attendance at other sites will be required. Hours of Work: A 37 hour working week is in operation. Salary: The successful candidate will be appointed aligned to point (01) of the Senior Post
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 20 days ago
, organizations and labor market institutions affect inequality. The position will support a mix of the candidate’s own solo research alongside collaborative, coauthored work with Prof. Wilmers. During the course
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Centre de Nanosciences et de Nanotechnologies | Palaiseau, le de France | France | about 1 month ago
are mixed and detected by a photoreceiver that translates the optical signal into the radiofrequency (RF) domain. As a result, each pair of comb lines produces a signal at a unique RF frequency, allowing a
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specifically developing and applying new technologies (e.g. mixed reality, movement- and biosensing, remote cognitive testing, mobile EEG) for studying neurodevelopmental disorders (e.g. ADHD, autism, learning
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qualifications CO₂plus aims to improve understanding of the phase behavior of CO₂ mixed with impurities or other fluids under storage conditions. The project will generate systematic knowledge and develop advanced
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administering standardised or experimental assessments. Competence in data analysis and databased management, including techniques relevant to longitudinal studies (e.g. mixed models, SEM, in R, Stata, MPlus