25 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions in Italy
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- Istituto Italiano di Tecnologia
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against falling from heights in working environments. This includes modeling, simulation and design of passive self-locking mechanisms and joints, FEM analysis on mechanical components, CFD analysis of flow
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Gran Sasso Science Institute, Mathematics Position ID: 2893-POSTDOCTORAL [#27939] Position Title: Position Type: Postdoctoral Position Location: L'Aquila, Italy 67100, Italy [map ] Subject Area
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Description Title of the project:"Osteoarchaeological and Biochemical Analyses of Protohistoric Funerary Contexts". The research project, entitled “Osteoarchaeological and Biochemical Analyses of Protohistoric
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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
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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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spectroscopy with plasmonic enhancement and solid-state nanopores to achieve label-free, flow-through detection and molecular identification at the single-molecule level. ESSENTIAL REQUIREMENTS A PhD in
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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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predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time
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Sustainable composite STructures for supporting the decision-making and resilience of the society Of the future”. This project develops transdisciplinary models that integrate traditional finite-element physico
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an international, collaborative environment. The Role The Mountain Cryosphere Group is seeking a motivated Postdoctoral Researcher (within 3 years of PhD completion) to develop innovative workflows for monitoring