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approaches, elicited production, naturalistic language sample analysis, and eye tracking methods. The ideal candidate is organized, detail-oriented, resourceful; and has excellent data management and analysis
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skills and attributes for success: Experience in applying natural capital concepts Experience using a range of data analysis methods Ability to communicate complex information clearly, orally and in
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the Department of Neurology; plans, designs and executes experiments of considerable scope and complexity in the assigned research lab; collects and analyzes data for research sponsored by appropriate agencies and
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for compositionally complex, defect-containing and structurally disordered crystalline materials. Develop, train, validate and benchmark machine-learned interatomic force fields for multicomponent inorganic energy
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are looking for a highly motivated post-doctoral candidate interested in advanced health data interoperability and harmonisation, federated data analysis and the development of next generation AI-based research
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of LLMs to accelerators, specifically, use of agentic AI to support intelligent system analysis, aid operator decision-making, automate complex workflows, and enable more adaptive approaches to machine
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complexes under stress, the molecular mechanisms underlying mitochondrial permeability transition, and the signaling pathways that regulate mitochondrial dysfunction. The laboratory employs
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. One of the main achievements of the PRP@CERIC project is the installation, at the Elettra premises in collaboration with IOM-CNR and IC CNR, a cryo-EM facility for single-particle analysis, cryo
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a specific context, conduct individual research, analysing detailed and complex qualitative and/or quantitative data from a variety of sources, and generate original ideas by building on existing
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Multimodal Human Sensing and Advanced Behavioral Data Analysis Mission