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areas will be considered an advantage: Confocal microscopy Image processing Optical bench instrumentation – set up and alignment Scientific software development Thermochronology and exposure dating
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Proficiency in statistical software (R or SAS required; Mplus is an asset) Critical thinking and adaptability in an interdisciplinary environment Ability to work independently and in collaboration within a
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simulation software, e.g., Wireless Insite, Zemax Proven track record of publications in relevant IEEE journals and conferences The candidates will be considered until the position is filled. To be considered
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state of the art, including scientific literature, tools, models, best practices. Initiative and ability to work independently and collaboratively within a cross-functional team, including software
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within a cross-functional team, including software developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and
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data using statistical software. • Contribute to the preparation of reports and presentations. • Assist with the preparation of papers for publication and make presentations at meetings and/or
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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
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writing. Assist in recruiting participants from NHS sites. Collect and analyse qualitative and observational data. Collect, clean, and analyse quantitative research data using statistical software
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using advanced geological modeling tools such as Datamine software, Leapfrog Geo and Surfer. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding
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of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility