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well as computational analysis to uncover biophysical principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine
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older adults”. This project will use a novel form of non-invasive brain stimulation combined with multimodal techniques to investigate how synchronising brain oscillations at specific frequencies can
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on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order models, designing controllers that exploit
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employs a digital humanities approach, combining computational analyses of metajournalistic discourses with qualitative analyses of debates at critical discourse moments, as well as interviews
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journalism’s recent past. Methodologically, the project employs a digital humanities approach, combining computational analyses of metajournalistic discourses with qualitative analyses of debates at critical
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nature. The PhD candidate will focus on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order
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resume, letter of interest, and a list of the names and contact information for three (3) professional references is required to apply. Important Instructions: When prompted to upload your “resume”, upload
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sequencing data and optimise editing conditions Execute pooled functional screens to identify synergistic gene combinations Validate hits with targeted assays and in‑vitro models Contribute to B.Sc./M.Sc
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engineering, in an exciting combination of academic and industrial environments. Responsibilities and qualifications Within the scientific area, the researcher is expected to advance the Department's activities
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: using time-series and comparative datasets to build dynamical models that link developmental processes to evolutionary outcomes. Predictability of evolution: creating integrative models that combine