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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof
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Your Job: At the Electrocatalysis department of Prof. Karl Mayrhofer, we offer a PhD position within the team Nanoanalysis of Electrochemical Processes. Lead by Dr. Andreas Hutzler, the team is
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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). TUD Dresden University of Technology embodies a university culture that is characterized
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together with a PhD student in the lab of Prof. Jeroen Krijgsveld, which will focus on the proteomics part of the joint SFB/CRC project applying state-of-the-art proteomic approaches, e.g. low-input/single
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part of a DFG funded project "Decoupling above- from belowground litter decomposition and impacts on stabilization of soil organic matter with increasing aridity". Drylands cover large areas of the land
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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will analyse data to establish links between in-vitro and in-vivo digestive behavior, metabolic and appetite responses of different ingredients; you will use the knowledge gained to better characterize
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such approaches would be cost effective. To achieve this, you will be supported to undertake analyses using large data registries such as the Clinical Practice Research Datalink. This is an exceptional opportunity