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variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides solutions and
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-cytometry RNA/ protein analytical techniques, microscopy and tissue culture. You will be able to work both independently and as part of a team, have excellent communication, organisational and problem-solving
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high standards. Additionally, you possess solid analytical skills and approach complex problems in a structured and solution-oriented manner. The workplace You will work at the Division of Communication
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the deployment of teaching expertise across the Faculty. The Faculty has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and
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other data analytics models to the study of armed conflict, political violence, and (counter-)terrorism, and conduct independent and collaborative research. The ultimate goal is to improve predictive
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related engineering fields. The candidate should have skills and experiences in at least one of the following areas: 1) advanced data analytics for performance prediction and risk analysis of transportation
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observations from the Kepler and TESS satellites, complemented by Gaia data and ground-based spectroscopic and spectropolarimetric observations. See more information here: https://www.space.dtu.dk/english
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, Learning Analytics, Data Science, Cognitive Science, or a related field, strong scientific profile, with nationally and internationally visible research (shown by relevant publications) in fields highly
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technologies have exploded in recent years, generating multi-dimensional data from millions of cells and thousands of molecular features. Understanding these data and harnessing their insights remains an ongoing
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data storage capacity to accelerate research in intensive computing and large-scale data analytics, commonly referred to as Big Data. This characteristic distinguishes the HPC center at the university