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Supervisory Team: Prof Middleton, Prof Gandhi PhD Supervisor: Matt Middleton Project description: We know of only 20 or so black holes in our galaxy yet predict there should be 10s of millions
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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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. Completing courses and training required for being awarded the PhD degree. Design and perform strain engineering works in Bacillus. Perform OMICS data analysis, especially RNAseq analysis. Specific
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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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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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analyse large datasets such as the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics to identify activity related to the treatment of community acquired pneumonia. This will require
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regarding the open PhD positions can be discussed with the supervisor, Prof. Dr. Meng Wang ( vpajob at tu-dresden.de ). TUD strives to employ more women in academia and research. We therefore expressly
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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bioinformatician with a PhD or equivalent experience to join our dynamic research team at the Life Arc Centre for Rare Mitochondrial Diseases https://www.lifearc.org/project/lifearc-translational-centres-for-rare
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-reliant mind-set; Strongly motivated to obtain a PhD degree; Excellent English language proficiency (a minimum of CEFR C2 level). For more information about this proficiency level, please visit our special