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of study itself. Examples include: how scientific choices (methodology, references) differ between large language models and human scientists; how we measure the capabilities of large language models in
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Code, Codex, or similar systems, in research and development workflows Experience in computational neurobiology, neural data analysis, or modeling neural activity from large-scale recordings Ability
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inequalities between different population groups. The PhD project will utilize large scale individual-level datasets, such as register and survey data, with information on individuals, their housing situation
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advanced AI methods to extract meaningful knowledge from large-scale, heterogeneous, and high-dimensional biomedical and population data, often referred to as Big Data in the health and life sciences
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21 Apr 2026 Job Information Organisation/Company Fondazione Bruno Kessler Research Field Other Researcher Profile Other Profession Positions PhD Positions Application Deadline 15 May 2026 - 23:59
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large-scale mapping and modelling of agricultural data, machine learning to track environmental change, collecting and working with large and complex datasets. Before applying, please note that to work
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for you to develop in your career and make a real difference in the communities around us while contributing to the world at large. We offer careers and roles in just about every area you can think of
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departments, IRISA is a center of excellence whose scientific priorities include bioinformatics, system security, new software architectures, virtual reality, big data analysis, and artificial intelligence
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industrial, charitable and academic collaborators from around the UK and internationally. EPICGB is an ambitious, large-scale research programme designed to accelerate access to life-extending therapies
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Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes | Saint Aubin Routot, Haute Normandie | France | 1 day ago
and from different bone regions submitted to different mechanical loads. Large spectral data sets were generated per donor and sub-families of spectra can be identified by statistical analysis