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-of-principle FFS measurements on various test samples Support the supervision of a PhD student ESSENTIAL REQUIREMENTS A PhD in physics, biophysics, engineering or a related discipline Documented experience in
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from different disciplines Contribute to scientific publications and dissemination of results ESSENTIAL REQUIREMENTS PhD in Physics, Photonics, Condensed Matter, or a closely related discipline Proven
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/Offerte_di_lavoro_A_Researcher_in_the_Field_of_Deep… Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Job requirements The ideal candidate should have: PhD degree, preferably in the field of Climate Physics
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to perform correlative operando measurements Essential requirements PhD in Material Science, Chemistry or Physics or equivalent degree Hands-on experience in electrochemistry Hands-on experience in Raman and
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are to date the closest avenues to investigate, but other topics are not excluded, such as, e.g., physics and weather forecast. Supervise the research activities of PhD students. Publications on major
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experimentation with our partner surgeons (both in the lab and in the OR). The position requires physical presence in the lab at IIT in Genova, Italy. Remote work is not possible. Your main responsibilities will be
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requires physical presence in the lab at IIT in Genova, Italy. Remote work is not possible. Your main responsibilities will be: Design, implementation and testing of user interfaces for systems integration
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Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 31 Mar 2026 - 23:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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of the submission process, in particular of EU funding proposals; Identify strategic needs and potential project concepts that can have a high success rate across the range of scientific activities carried out
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher in Software Engineering & Robotics (MLOps for AI-Enabled Cyber-Physical Systems