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of the Architecture Programme, or in the Master's Programme in Architecture and Urban Design at the Umeå School of Architecture Have good knowledge in architectural visual representation and modelling in both 2D and
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of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and
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development. Work responsibilities The candidate will lead a multidisciplinary research program investigating the genotoxic and epigenetic effects of NPs. Responsibilities include developing mutagenesis assays
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University, Sweden. The position is the part of the projects within the consortium MIPrecise under Marie Sklodowska-Curie action by the Framwork Programme of the European Union for Research and Innovation
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you must: Be enrolled in years 4 or 5 of the Architecture Programme, or in the Master's Programme in Architecture and Urban Design at the Umeå School of Architecture Have good knowledge in
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legitimacy. WASP-HS The PhD position is part of the Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS). The vision of WASP-HS is to foster novel interdisciplinary knowledge
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are inviting qualified applicants to apply for a doctoral student position in the European Marie Sklodowska-Curie Training Network programme FADOS. The successful candidate will join a cohort of 17 Doctoral
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, grant applications, and mentor colleagues in AI/ML and data analysis. Coordinate with collaborators and support data governance and FAIR practices. Qualifications Ph.D. in molecular biology, computational
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requirement must be met no later than the time at which the appointment decision is made. Extensive experience in computational biology and data analysis of microorganisms and metagenomics is required, as
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purification, and computational image analysis must be acquired before starting PhD project work. As a PhD candidate, you must also be fluent in both oral and written English. Merits are: Skills and experiences