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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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and industry-focused nature of the project Analytical problem-solving skills and a genuine interest in research Ability to disseminate results and engage with academic, industrial, and societal networks
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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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techniques into the design process to generate value for both designers and end-users. Essentially this project concerns re-defining and re-inventing the future building and HVAC design processes, thus
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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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digital manufacturing, woodworking, material testing and characterization, and advanced software and digital facilities. Being part of Chalmers, a top Swedish university with strong industry ties and a
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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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, wildlife management, forestry and crop protection. The Evolving Networks Lab is part of the Insect Ecology unit Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
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, wildlife management, forestry and crop protection. The Evolving Networks Lab is part of the Insect Ecology unit Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
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different conditions using existing software (written in Fortran). Analysis of data using quantitative genetics tools (e.g., calculation and comparison of genetic and phenotypic covariance matrices