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the broader research activities of the Data Science Center of Excellence of the Ministry of Defence. The central objective of this research is to investigate how data-driven and predictive models can be
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at the intersection of reinforcement learning and stochastic optimization. The objective is to contribute to the development of novel methodologies that advance both theoretical understanding and practical application
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that focus on the material and intangible remains of the past, the reciprocal relations between objects, meanings and representations, and the dynamics of memory. AHM’s research is carried out from diverse
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fundamental research to translational research with a direct therapeutical impact. Your job The primary objective of this position is to perform experimental proteomics work, including sample preparation and
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(e.g., mathematics, physics or computational social science), with a strong track record in network science (or complex networks / social network analysis); Excellent writing skills and proficiency
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to have obtained a PhD in engineering, with experience in concrete modelling and experimentation. The candidate should also have a proven track record in scientific publishing. A good command of English
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and social sciences, and to position its consortium at the top of its field internationally. A key objective is to investigate how new technologies challenge moral values and ontological concepts (like
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neuroscience of language comprehension Experience with open science practices (e.g. preregistration, data sharing) A track record of peer-reviewed publications The successful candidate must relocate to Leiden
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in suitable push solvent, including flow-cell design. Both LACDR and dsm-firmenich have a strong track record in development and implementation of cutting-edge instrumentation to advance metabolomics
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intellectual histories using visual art/periodical press/graphic arts/cultural discourse as archives; Track record in working with vernacular/regional languages tied to their specific field/geography