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decide to return for a full-time career. What we're looking for PhDs (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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analyzing experimental data. Has demonstrable affinity with the topic of sustainable consumer behavior. Has excellent communicative and project management skills to handle the multiple stakeholders involved
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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Muscle Neuromechanics and Ultrasound Imaging, within the doctoral programme Materials
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/PhD Degree Experience Background in cardiac biology, neurobiology, bioengineering, or related field Molecular biology Background in electrophysiology preferred but not required Skills Skills in mouse
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PRISMA guidelines Design and implement search strategies across multiple scientific databases to identify relevant studies Critically appraise and extract data from peer-reviewed literature using
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analyses by age, ethnicity, and index of multiple deprivation will be performed. The second stage of the study will involve the analysis of prospectively collected EQ-5D-5L data from a cohort of patients to
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and interpretation of results Supporting the analysis of multiple mitochondrial ‘omics datasets, such genomics, transcriptomics and clinical data Collaborating regularly with the team members and
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and
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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