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4 Apr 2026 Job Information Organisation/Company ISTITUTO DI FISICA APPLICATA CARRARA IFAC-CNR Research Field Physics » Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4
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. For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp . The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color
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which you would enhance the educational experience of students and further the College's educational goals . The Physics Department (https://www.hamilton.edu/academics/departments/physics ) has eight
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | 7 days ago
, of diagnostic and prognostic techniques based on hybrid approaches (physical models and learning), with semi-automated modeling and statistical parameter adaptation. - Design and programming of data acquisition
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methods, including EEG, brain stimulation, MRI, and computational modeling. More information can be found on our website: https://kaihwang.github.io/ . The research assistant will be responsible
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Description 1. Analysis Gap (On-Prem - AWS) 2. Application Refactor for AWS 3. Deploy to AWS Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research FieldEngineering
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performed (punctuation: 60) Additional Information Benefits 900 € (including the apportionments of extra payments) Selection process MERIT BASED-TENDER PROCESS Website for additional job details https
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applicable law. Pay Range: To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Part-Time-Lecturer---Physical-Therapy_R136454 Copyright 2025 Jobelephant.com Inc
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Date Posted: 04/22/2026 Req ID: 47816 Faculty/Division: Faculty of Kinesiology & Physical Education Department: Faculty of Kinesiology & Physical Education Campus: St. George (Downtown Toronto
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,” Machines, vol. 9, no. 10, p. 210, Sep. 2021. https://doi.org/10.3390/machines9100210 [3] L. Podina, M. Torabi Rad, and M. Kohandel, “Conformalized Physics-Informed Neural Networks,” arXiv preprint arXiv