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Field
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and pathophysiology of limbal stem cell deficiency. The role of Wnt signal transduction pathway in human limbal stem/progenitor cells is under investigation and small molecules that modulate Wnt
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complete lab-on-a-chip integration for point-of-care devices. One of the Group's main objectives is to apply the nanobiosensor devices in real clinical diagnostics and environmental control. The Job is
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signal/image processing, computer science, applied mathematics, or a related field, obtained less than 3 years before the date of hire. Essential skills, knowledge and experience: Excellent command
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to be reliably accredited at any point during the selection process, and must still be met on the date the contract is signed. The merits claimed will always be considered in relation to the last day of
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project supported by funds from the Economic and Social Research Council (ESRC). The project aims to examine emotion processing and emotion regulation in people with convictions for sexual and violent
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wind tunnel experiments, flow measurements, or aerodynamic testing is an asset. Skills in data acquisition systems, signal processing, and experimental analysis. Ability to work in a collaborative and
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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 1 month ago
Nonstationary signals are at the forefront of modern statistical analysis, as many observed phenomena cannot be adequately modeled by stationary processes. The NOMOS project aims to develop a new generation of
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Chaire d'Excellence-funded project “Nonstationary Models of Biological Signals” (NOMOS), Principal Investigator Prof. Anna Dudek. According to the requirements of this funding program, candidates should
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Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies that transform dynamic environmental processes
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Limitation:Temporary (2 years) Contract:TV-L Your tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing approaches