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secondary data sources for research; use and analysis of quantitative data in concert with extensive in-depth literature reviews and related written summaries targeting AI topics; completion of human subjects
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AND VERIFICATION” – CUP B53C23008910005, PRESSO L'ISTITUTO CNR-IEIIT SEDE DI GENOVA Where to apply Website http://www.ieiit.cnr.it Requirements Additional Information Eligibility criteria Eligible
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | 16 days ago
to apply Website https://www.dei.unipd.it/bandi Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: OTHER Eligibility of fellows: country/ies of residence
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, contributing to the development and maintenance of FlaGs and its web server for comparative genome analysis, developing Python-based tools and code for retrieval and processing of publicly available genomic data
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of regulatory T cells isolated from various tissues under pathologic conditions 3) Analysis of the functionality of regulatory T cells Where to apply Website https://pica.cineca.it/ Requirements Additional
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in the execution of active projects within the network (database development, fieldwork monitoring, among other tasks). c) Statistical analysis of data generated in research projects. d) Support in
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 11 days ago
information, as well as an analysis chain to instantiate and use models on open-source and industrial case studies. Outcome The project will propose a methodology to realize code migration of a niche technology
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letter Current curriculum vitae Copy of PhD diploma A list of publications and conference presentations Signed information on the processing of personal data (https://bsp.adm.uw.edu.pl/wp-content/uploads
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and health, and preventing morbidity and premature mortality among employees. Supervisor: prof. Ing. Miroslav Žitňák, PhD. More information about PhD position: https://tf.uniag.sk/sk/doktorandske
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scientific methods, often in conjunction, including qualitative data collection and analysis via semi-structured interviews, structural micro-econometric modeling and estimation, and statistical analysis