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the community at large. • Provides evidence that the project will respect and respond to the needs of the participants. • Shows how the project will benefit and lift the profile of the Fellowship and the
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nanofabrication techniques and processes. § Data analysis with MATLAB, Mathematica, Python or similar software. § Strong oral and written communication skills. Application Instructions Please upload
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, Environmental Science (with a quantitative focus) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets
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such as teacher education across local and global contexts. It requires strong methodological capability, particularly in quantitative approaches, and the ability to contribute to large-scale and
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, beginning with Parkinson’s disease. The successful candidate will serve as a data manager to liaise between the project’s different data generating and database development teams and facilitate
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16 Apr 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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mechanisms that drive problematic consumption of highly processed foods. Research in the lab spans behavioral experiments, large observational datasets, survey studies, conceptual and theoretical scholarship
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invariant Natural Killer T (iNKT) cells for precision targeting of AML, an aggressive leukaemia with poor survival outcomes. Building on strong preliminary data, it combines mechanistic and translational
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health. The post holder will develop innovative AI techniques approaches applied to oral healthcare, with a particular focus on Large Language Model-based multimodal data understanding and reasoning
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 19 days ago
expertise; excellent command of quantitative research methods, including panel regression, analysis of large administrative data, survey data, and statistical programming in Stata/R/etc; excellent oral and