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project activities. Key responsibilities include: Investigation into the GEUS sediment archive to extract information on the properties of subglacial sediments deposited by past ice streams. Analysis
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responses, α-synuclein pathology Immunofluorescence and confocal microscopy, high-content imaging, quantitative image analysis, SDS-PAGE and Western blot Testing of candidate compounds Contribution to single
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role Research in the general domain of stochastic analysis, with special focus on stochastic geometry, such as random fields, random graphs and related structures, limit theorems, stochastic calculus and
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, assembloids and chimeroids to investigate mechanisms of Parkinson's disease (PD). The work has a particular focus on high-throughput technologies and the analysis of protein aggregation. The project integrates
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mechanics, applied mathematics, biomedical engineering, computer science or a closely related discipline Strong background in finite-element methods, continuum mechanics and numerical analysis Excellent
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://www.meduniwien.ac.at/web/en/) in one of the most liveable cities in the world. Candidates will benefit from an excellent state-of the art set of resources, numerous educational events and interdisciplinary scientific
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capable of breakthroughs. The research will mix state of the art numerical skills with analytic understanding. Your task is to predict new classes of materials that have not been considered before, beyond
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to work with the FLEXPART model, you can also propose your own research topics. These could be, for instance, theoretical and numerical improvements of FLEXPART, development of new application fields
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of psychology, geography, sustainability and societal change Solid experience with daily diary / EMA designs, including advanced multilevel data analysis or strong motivation to further develop these skills
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appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers to lead or contribute to large