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to collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, and PhD students. Candidates will become part of a collaborative work environment within and outside QGG
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observations. Formally, this means that the output is multivariate (from 10 to 600 groups) and that the input has up to four dimensions (latitude, longitude, depth, time) for each variable (and there are over a
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leading role in mentoring junior students, with the opportunity to take on formal supervision roles. About you Qualifications: PhD in Neuroscience, Computational Neuroscience, Psychology, or a related field
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methods and solutions and in architectures and systems that support the development of such systems Publish research results and present them at international conferences Contribute to reports and research
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following requirements: PhD in chemical sciences, biological sciences or materials engineering.Obtaining a doctoral degree within maximum 7 years from the announcement of the competition. They fulfilled
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supervise BSc and MSc student projects and co-supervise PhD students; As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized
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, wearables such as Actigraph data analyses), formal supervision and mentoring of lab members at earlier career stages on independent research projects, grant writing, leading independent research and
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- Familiarity with method development, data processing software, and QA systems - Knowledge of ISO17025 accreditation processes - Good English communication skills (written and verbal) - Experience with sample
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of results in scientific journals Requirements PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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methods and software for the analysis and calibration using very large data sets resulting from dynamical simulations on high-performance computing resources. Application areas include : 1. Epidemiology, 2