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Soledad Gonzalo Cogno. About the project The successful candidate will contribute to one of the two main research topics in the lab: (1) the analysis of Neuropixels recordings (experimental data is obtained
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the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the
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for building a career in academia or industry Professional development through JuDocS, including training courses, networking, and structured continuing education ( https://www.fz-juelich.de/en/judocs
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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Perturbation-based Multi-omics Inference of Gene Regulatory Networks
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administrative systems. Dominant research areas are public policy and administration, institutional analysis, comparative politics, opinion studies and political theory. Project description The overall aim
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analysis that informs and improves national and local strategies, policies, and programmes. It is part of the UK’s What Works Network and collaborates with colleagues from across the UK and internationally
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well as infection-trials in rainbow trout and possibly other fish species. Through our broad network of international collaborators, you will have ample opportunity for long and short research stays at scientific
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About the Project An exciting PhD project on the effects of heat transfer of transitional compressible boundary layers will be carried out under the UK Hypersonics Doctoral Network, which has been
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classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research
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analysis. LanguagesENGLISHLevelExcellent Additional Information Benefits Annual salary is within the range of EU Marie Curie European Training Network programs, Monthly Mobility Supplement and Monthly Family