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/Scientific Analysis Institute), Dr. Bernd Werse (Göethe-universität), Associate Professor Thomas F. Søgaard (AU) and Professor Andrea Tone (McGill University). Job description The PhD project specifically
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on investigating the change in the catalysts surface under relevant process conditions using spectroscopic analysis methods. Your task will include: Application of established and novel methods for the preparation
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isotope ratio mass spectrometry (IRMS) and gas chromatography coupled with mass spectroscopy (GC-MS), as well as other spectrometric methods Experimental and modelling analysis of relevant processes in
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helping them in their experiments, acquisition, analysis and interpretation of data. Another requirement would be the ability to write reports, make presentations and contribute to writing the grant
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hepatitis C virus (HCV)) among migrants to high-income countries through systematic review and, if appropriate, meta-analysis; • building on previous work linking administrative immigration data with
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seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our
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analysis and ecological data, preferably using R or related tools. Good written and oral communication skills in English, and, preferably in a Scandinavian language In addition one or more of the following
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Christoph Kaether - Novel Mechanisms of Microcephaly Driven by Early Secretory Pathway Proteins Janine Kirstein - Analysis of the susceptibility of specific neurons for neurodegenerative disease-associated