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collaborative opportunities globally, as well as within Luxembourg. The doctoral candidate will perform wet lab experiments as well as computational analysis to uncover biophysical principles that regulate host
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recruiting and selecting staff and students. You will collaborate with a team of clinicians (urologists/pathologists), experienced researchers with backgrounds in image analysis, machine learning, pathology
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and Urology Faculty, is responsible for the independent conduct of a significant element of research projects. This includes assistance in study design, IRB submission, data analysis and grant
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on the analysis and interpretation of the GNSS observations as well as on the application of geological and glacial-geomorphological findings for the reconstruction of ice-load history in Antarctic regions
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to modern genomic datasets that may involve hundreds of populations. He/she will also develop probabilistic GO models inspired from the Redundancy Analysis approach and extend it by introducing Neural
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integrating single-molecule fluorescence detection and microfluidics Implementation of data acquisition and analysis software (programming) Methodological innovation and biological applications Who Should Apply
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disturbances on OFR using visual media (e.g., photos, videos). The supply and demand of OFR will be assessed via a spatial analysis to identify recreational hotspots and inform forest management of them. Finally
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a dynamic environment, are a team player and are interested in collaborating with companies and farmers. Keywords: microbiome analysis; bioinformatics; molecular biology, soil health; agriculture; NGS
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physics. Such development includes: ideation, mathematical development, Lyapunov-based analysis, executing simulations and experiments, and disseminating research findings. The candidate is expected
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, with exciting collaborative opportunities globally, as well as within Luxembourg. The doctoral candidate will perform wet lab experiments as well as computational analysis to uncover biophysical