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resilient: you are comfortable handling complex data and working in a demanding environment. Experience with statistical software (preferably R. MATLAB, Python) Strong interest in cardiovascular physiology
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software such as SPSS, R, etc.; proficiency in spatial analysis tools such as ArcGIS/QGIS or willingness to learn; a demonstrated ability and willingness to spend a good amount of time in the case study
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; Disseminate results via publications, open-source software, and presentations; Assist in relevant teaching activities. Selection Criteria MSc degree in Computer Science, Artificial Intelligence, Data Science
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; Disseminate results via publications, open-source software, and presentations; Assist in relevant teaching activities. Selection Criteria MSc degree in Computer Science, Artificial Intelligence, Data Science
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using
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proficiency in relevant software tools (e.g., SPICE, Cadence, MATLAB). A research-oriented attitude. Ability to work in an interdisciplinary team and interested in collaborating with industrial partners. Fluent
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simulation. Familiarity with IC design tools and tapeout flow and proficiency in relevant software tools (e.g., SPICE, Cadence, MATLAB). A research-oriented attitude. Ability to work in an interdisciplinary
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interests. Beyond membership of the FoRECAST team, you’ll join the Software Technology group led by Gabriele Keller. As our research group contains core members of the popular Accelerate and Stan DSLs