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for Religious Studies, Bochum, and with experts in other related research fields. You will lead the development of your own PhD research, aligning it with the research objectives and Work Packages (in particular
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mindset. You have good statistical skills and experience with analyzing metabolomic and metagenomic sequencing data. You like to work in diverse settings as you have to communicate closely with a diverse
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sequencing data. You like to work in diverse settings as you have to communicate closely with a diverse team (i.e. microbiologists, data analyst, cell biologists, immunologist, engineers). You are a team
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applications. Your key responsibilities: • Develop, validate, and apply new MRI sequences to visualize various aspects of the brain clearance system. • Develop and perform advanced data reconstruction, post
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to perform sequence and structure analyses. You will also present your research at national and international conferences and publish your results in peer-reviewed journals. About your workplace Our lab is at
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assays and RNA sequencing in iNeurons. Using advanced techniques such as automated live-cell imaging, electrophysiology and biomarker analyses, effective AONs will be selected. Ultimately, the goal is to
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disciplinary and transdisciplinary. However, there is a lack of knowledge on co-creating constructively aligned engineering curricula that balance and support the development of transformative competencies
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and methodological basis for defining the new concept of ‘landscape services’ in regional spatial design. In ‘Fertile Soils’, we see a potential that multiple spatial challenges in urban and rural areas
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neuroscienceanalyses to MRI data from multiple species , the project aims to study the evolutionary basis of human cognition —including language, working memory, theory-of-mind , and the specialized brain networks
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
, which is the community of microorganisms present in a given soil. Leveraging microbial sequencing data, agronomical and physico-chemical data, integrative data science provides opportunities to classify