84 phd-structural-engineering "https:" "IMT Atlantique" Postdoctoral positions in Italy
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- Università degli Studi di Milano, su finanziamento codice U-GOV FON_NAZ26LBELL_01
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(R2) Positions PhD Positions Application Deadline 8 May 2026 - 23:55 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Hours Per Week 38 Offer Starting Date 1 Sep 2026 Is the
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group is located in the new Center for Hemato-Oncology Research, a large building with outstanding design, state-of-the-art laboratories and technology platforms that is strategically located next to the
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Center for Hemato-Oncology Research, a large building with outstanding design, state-of-the-art laboratories and technology platforms that is strategically located next to the Institute of Hematology, a
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to Article 22bis of Law no. 240 of 30 December 2010 - 2026IPD06 Where to apply Website https://www.unipd.it/procedure-personale-docente Requirements Additional Information Eligibility criteria Eligible
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with project partners, contribute to the preparation of project reports and deliverables, be involved in the dissemination of research results, contribute to the co-supervision of Master’s and PhD theses
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-impact journals and present research at international conferences. Your Profile Requirements: Education: PhD in Remote Sensing, Environmental Engineering, Geoinformatics, Telecommunications, or a related
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. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer
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research unit. The selected candidate may also be involved in additional activities or projects within the Centre, depending on organizational needs. Where to apply Website https://jobs.fbk.eu/Annunci
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) Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description https
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bring Essential PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs