Public Competition No. 2026S29, based on examinations. The competition is intended to recruit No. 1 First-level Research Technologist

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Smart working, Italia Italian Ministry of Education, University and Research Tempo pieno

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pOrganisation/Company Università degli Studi di Padova Research Field Physics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 16 Nov 2026
- 14:00 (UTC) Country Italy Type of Contract Temporary Job Status Full-time Hours Per Week 36 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 /ph3Offer Description /h3pThe activities connected to the main research and technological innovation goals of the project are: /pulliTo design, develop, and employ computational pipelines for the processing and analysis of multimodal neuroimaging data, including fMRI, EEG, and OPM-MEG, aimed at investigating resting-state brain activity in healthy individuals and patients with neurological disorders, with particular emphasis on stroke. /liliTo develop advanced methods for neural signal analysis to identify and characterize neural waves and their spatiotemporal dynamics, as well as to extract statistical features for the quantitative description and comparison of brain activity in healthy individuals and stroke patients. /liliTo develop physics-based statistical and stochastic models of brain activity to describe and interpret experimentally observed neural dynamics by integrating approaches from statistical physics, complex systems, and computational modelling. /liliTo develop modelling and data analysis methods for investigating brain activity in new-borns using EEG recordings acquired both during resting-state conditions and experimental paradigms involving sensory and cognitive stimulation, such as listening to spoken texts, with the aim of characterizing functional brain development. /li /ulpTo perform these duties, the following professional abilities, knowledge and competencies are required: /pulliSpecific knowledge, including through hands‑on experience, of appropriate libraries for the analysis of EEG and LFP time series and signal processing. /liliSkills in statistical mechanics and complex systems for the development of generative models based on coupled dynamical systems. /liliSkills, including through hands‑on experience, in neuroscience and biophysics. /li /ulpIn summary, the skills required for the professional profile sought are: /pulliHigh knowledge of critical models of whole brain and neural activity. /liliIn-depth knowledge of numerical techniques for signal analysis. /liliIn-depth knowledge of programming languages dedicated to simulation and data analysis in neuroscience (e.g., Matlab). /liliKnowledge of English language B2 level. /liliGood skills related to the organization and coordination of working groups. /li /ul #J-18808-Ljbffr

Public Competition No. 2026S29, based on examinations. The competition is intended to recruit No. 1 First-level Research Technologist

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Public Competition No. 2026S29, based on examinations. The competition is intended to recruit No. 1 First-level Research Technologist

Salva questo lavoro e mantieni la tua ricerca organizzata

Lavoro simile a Smart working

Citta principali