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Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis
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, generative modelling, transport simulation, network modelling, or data fusion. Ability to work both independently and in interdisciplinary research teams. The following experience will strengthen your
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Tranplantation and Regenerative Medicine Postdoc Appointment Term: 1-year term (Renewal is based on performance -- Max of a 5 years) Appointment Start Date: As Soon As Possible Group or Departmental Website: https
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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-on experience, contribute to groundbreaking projects, and explore career opportunities. Whether it’s advancing energy technologies, enhancing cybersecurity, or addressing new horizons such as fusion
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scientists. Job Description Primary Duties & Responsibilities: Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Lab
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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USDOT-funded, multi-year R-SEAT (Rural Safe Efficient Advanced Transportation) Center research, collaborating with consortium universities and local DOT partners on pilot projects, data fusion efforts
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment