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-year PhD program, you will join a collaborative research team applying cutting-edge methods from Experimental/Behavioral Economics alongside modern macroeconomic modelling techniques (e.g. DSGE). You'll
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predictive models and novel measurement methods that improve coating performance for corrosion protection, heat reflection and radiation shielding. You will collaborate closely with our industrial partners
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, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes following courses/workshops as well as training on the job in assisting
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that contribute to the national and international AMR agenda. Apply advanced molecular and epidemiological methods to unravel AMR mechanisms in animal and foodborne pathogens. Translate research outcomes into high
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some experience with quantitative methods and statistical software like R, STATA, Python or similar Be enthusiastic about writing international, prestigious academic publications Dutch language is not
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to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and
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. Data-driven approaches are attractive alternatives. Descriptors are used to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective
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Sciences or a related discipline Excellent academic writing skills in English Have some experience with quantitative methods and statistical software like R, STATA, Python or similar Be enthusiastic about
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the electrochemical active site and impact on transmembrane proton translocation. The project aims to develop new methods and devices routed on the chemistry of 2D materials and the functionalization of graphene
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field; Affinity with formal methods, including an understanding of basic of automata theory, formal languages, algorithms, and computability --- i.e., foundational computer science theory. Candidates with