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of the industry partner for a varying range of data types (both structured and unstructured data). The proposed solution aims to address the key challenge of balancing data utility with privacy by developing
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of a combination of multi-omics data from the gut microbiomes of patients with Alzheimer’s disease or Parkinson’s disease. The candidate will use state-of-the-art in silico protein structure prediction
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, aerodynamics, structures, and manufacturing to support integrated design and optimization activities within an international consortium. · Contributing to technical reporting, dissemination of results
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the overall research project, please contact . Your profile Masters, Diploma or equivalent degree in bioinformatics, computational biology, systems biology, biology, or similar Experience in structural
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research Sociology of knowledge (construction and co-production of social categories and norms) Critical perspectives on sustainability, equity, human and social rights Your tasks Develop a PhD project
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utility for a varying range of use cases and data types. The candidate will perform the work together with an interdisciplinary team of postdoctoral researchers who are experts in the field. In general, the
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week, of small group teachings and tutorials. The person will benefit from being part of large research group comprising several PhDs and Postdoctoral Researchers working on related topics of Green and
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-technical dynamics of compliance: how technological infrastructures, institutional logics, and regulatory frameworks interact to shape compliance practices and outcomes. The candidate will be involved in
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Parkinson’s Disease, or markers of brain structure and functioning, depending on the dataset. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in
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tutorials. The doctoral researcher will benefit from being part of large research group comprising several PhDs and Postdoctoral Researchers working on related topics of Urban Economics, Trade and Migration