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. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules
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, considering equality and inclusion aspects. The candidate will be affiliated with AgroDrive Academy, which links three PhD projects and serves as meeting place and support network for the three candidates. It
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or technical writing. Meritorious qualifications: Understanding of urban planning in relation to climate adaptation and traffic management. Experience with advanced hydrological modelling software at catchment
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of properties of building materials. - Publishing Scientific articles in the field of study. - Documented laboratory and field sampling and analyses. - Experience in using software. e.g. OpenLCA, BIM, Matlab
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Ability to connect, network and partner with external organizations Other characteristics valued at JIBS are an international outlook; teaching and/or professional experience; and an ability to communicate
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other and serves as a meeting place and support network for the students. Qualifications: The appointed doctoral student shall have a Master degree in Engineering or equivalent. The applicant must be
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Realities Research Theme C: Visual Analytics for Intelligent Realities Research Theme D: Adaptive and Distributed AI for Intelligent Realities Research Theme E: Networking for Intelligent Realities
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. Application deadline is May 19, 2025. Project Description The Internet is enabled by a network of silica fibers with a step-index profile. Since the invention of the optical fiber 50 years ago, its design has
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communicate scientific results and knowledge orally as well as in written form within existing and new networks. This includes academia, industry and society at large. The research results will be presented
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: Master’s degree in biomedicine or biostatistics. Doctor of medicine degree with clinical practice experience. Certified training in R and Python software. Documented experience using machine learning and