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intelligent robots. Developing adaptive learning and deployment frameworks enabling secure, trustworthy, and robust operation of AI models embedded in CPS. Conducting empirical and experimental studies at scale
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from tumor verus normal paired DNA, as well as of data generated with RNA-seq, ChIP-seq, CUT&RUN-seq, ATAC-seq, HiC-seq, would be a plus. The candidate should have a PhD or equivalent research experience
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the building, as are key core facilities including deep sequencing, flow cytometry cell sorting and hematopathology. The candidate should have a PhD or equivalent research experience. He/she should be
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extensive experimentation with our partner surgeons, with testing both in the lab (based on a realistic surgical setup) and in the operating room (during the later phase of clinical trials). The position
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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development and implementation of morphodynamic models to define
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/Offerte_di_lavoro_FBK_is_looking_for_a_Researcher_i… Requirements Research FieldOtherEducation LevelPhD or equivalent Specific Requirements The ideal candidate must have the following requirements: PhD degree, preferably in the field
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cultural choices, identity dynamics, and criteria for the selection of individuals based on specific biological profiles. Where to apply Website https://www.unibo.it/it Requirements Additional Information
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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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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