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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
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to be fluent in English (written and spoken), hold a degree within epidemiology, statistics or a health-related discipline and have a track-record within the field of observational research, preferably
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background or keen interest in statistics, statistical analysis, and surrogate-based modelling would be considered an asset. Qualification requirements PhD stipends are allocated to individuals who hold a
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and statistical concepts Proficient in English for technical writing, oral presentations, and general communication Additional experience (preferred) Very good knowledge of XAI techniques Thorough
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biology, pharmacology and/or immunology. Experience in statistical bioinformatics, including developing analysis pipelines and applying programming (R/Python) to genomic/transcriptomic data. Strong written
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channel sounding and environment characterization; development of statistical and deterministic channel models and emulators; diagnostics, calibration, and characterization of phased arrays and
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. metabolic rate (respirometry) and thermal preference and avoidance Investigating growth rate and thermal experience from analysis of otoliths Analysing data using R or similar statistical software. Writing
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/ TensorFlow / Scikit Learn Highly knowledgeable in mathematical and statistical concepts Solid foundation in mathematics for Machine Learning (Linear Algebra, Probability, Optimization). Proficient in English
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in Demography, Social Science, Economics, Mathematics and Economics, Public Health, Statistics or similar. Furthermore, we expect applicants to: Have strong English skills, both spoken and written. Be
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
of statistical methods in quantification of EELS data, in particularly. Prior experience with advancing EELS measurements of captive gas (of nanoliter volumes within MEMS structures) is a big advantage, and so is