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crystallographic data. The project focuses on implementing different data processing and analysis methods relevant to time-resolved crystallography. This will involve working with automatic data processing pipelines
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aerodynamic methods and tools of turbomachinery design is therefore required, which in turn includes design and optimization in 1D, 2D, 2D Blade-to-Blade as well as 3D computational fluid dynamics (CFD) methods
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’ environments, raising concerns about their ability to evolve fast enough to avoid extinction. Whether species will persist or disappear is often unclear as existing methods to predict contemporary evolution work
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treatment methods and identify biomarkers in patients with metastatic melanoma. Despite significant progress in recent decades, many patients do not respond to current treatments or experience relapse. By
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deconvolution and machine learning methods for prognosis and therapeutic biomarker development. The collaborative research may include but is not limited to software tool dissemination, biology discovery, and
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strong skills in the application of qualitative empirical methods. A strong publication record, commensurate with career stage. Advanced proficiency in English. You have not previously been employed as a
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science and/or method development. Main work tasks You are expected to define & pursue your own research projects - centred around the techniques available at SoftiMAX - publish the results and present them