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Field
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of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep
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from a variety of national and international funding agencies, as well as from industry. Job description We are seeking an ambitious candidate to develop Machine Learning models and frameworks for time
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view towards developing new methods for uncertainty quantification. Starting date no later than October 1st, 2026. The fellowship period is four years, with 25 percent of the workload being devoted
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such actions remotely with both action and reaction traversing long distances is far beyond our technical capabilities today. Even the developments in 5G and beyond networks that specifically target significant
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develops theories, methods, models and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining
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technical work that underpins the scientific research of the collaboration. Research Title: Indoor Localization, Tracking, and Navigation The work will entail: ? Basic research leading to the development
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Systems (Mixed-Signal IC Design) Ideal candidates have Specialist Knowledge in Neuromorphic Engineering, with experience in designing and testing Mixed Mode IC systems, working with and/or developing
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for, and mitigating weather and hydrological extremes, as well as to develop effective decarbonization strategies. The possible role of AI ranges from predictive models of solar insolation and wind variables
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the radiosensitivity of patients. 3) Expansion of the algorithms developed to include fractionation as an optimization variable. Legislation framework: Research Fellowship Holder Statute, in accordance with Law 40/2004
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approaches and validation procedures behave as the data-generating process departs from idealized conditions and as dimensionality, heterogeneity, and structural complexity increase. The project will develop a