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to the international initiative “Antarctic InSync.” For more information, see: https://ic3.uit.no/ . The position is based in the Marine Ecology section of the Research Department and will involve collaboration within a
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national
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in vitro molecular microbiology, bacterial genetics, and quantitative analytical approaches, including strain construction, functional assays, and data-driven analysis. The successful applicant will
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Experiments (DoE) Practical experience with analytical techniques relevant to polymer or chemical process research Ability to communicate complex information clearly Fluency in relevant models, techniques
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-organization during pre-implantation development, in close connection with experimental data from live imaging and spatially resolved gene expression profiling. The work of the PhD fellow will be theoretical and
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meteorological datasets. Good programming skills in languages such as Python, MATLAB or R. Familiarity with UNIX/LINUX. High level analytical capability. Ability to communicate complex information clearly. Ability
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on the developed models for agencies/commercial partners Supervise junior researchers and master students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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collection. Can demonstrate proficiency in R or Python of data handling and visualisation. Has understanding of marine food web dynamics and trophic models alongside strong quantitative and analytical skills
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English and Chinese, including the ability to communicate with clarity on complex information and ability to prepare Chinese funding applications. High analytical ability to analyse and illuminate data