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this history is interpreted, mobilised and negotiated in different social contexts. You will use qualitative research methods such as discourse analysis, site-based observation, and interviews with relevant
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). Demonstrated affinity with quantitative genetics concepts and data analysis. Experience with programming in Python, Fortran, Linux or similar software. Good organisational and communication skills in English
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Dr. Bjorn de Koning, Dr. Annemarie Neeleman, Dr. Sergey Sosnovsky, and Dr. Jacqueline Wong. This entails the set-up of the research, the selection of methods and theories, data collection, analysis
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Transilvania University of Braşov Project 13 - Musculoskeletal influence on DVT – by Sano - Centre for Computational Personalized Medicine Project 14 - AI-enhanced sensitivity analysis – by Sano - Centre
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organism C. elegans to identify new mediators of this transcription stress response. These new mediators will subsequently be functionally characterized using genetic and cell biological analysis, in
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require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating the design and analysis of such models. PhD position
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estimation using multi-track Sentinel-1 (C-band) and NISAR (L-band) data. Implement and extend dynamic InSAR processing workflows for near-real-time analysis, including quality control and anomaly detection
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. You will work here This research is embedded within four research groups, at Wageningen University and Utrecht University: the Centre for Crop Systems Analysis (WU-CSA), the Laboratory of Cell and
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embedded within three research groups: the Centre for Crop Systems Analysis (CSA), the Plant Production Systems Group (PPS) and the Biosystematics Group (BIS), with supervision by Prof. Jonne Rodenburg, Dr
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-preserving data analysis. We are looking for a PhD student to join our team and contribute to cutting-edge research in theoretical computer science, with a focus on Secure Multi-Party Computation. You will