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-site, international research project. Your work will include qualitative and quantitative research, development and validation of quality-of-life measures, analysis of risk and resilience factors, and
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plant health policy and practice. Research objectives The PhD research addresses the following objectives: Behavioural analysis: Identify and analyse behavioural drivers influencing stakeholder decisions
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these cycles - δ¹³C isotopic analysis of CO₂ and δ¹⁵N in soil and vegetation samples from sites with different management practices - Determination of the ecological functions of the microbiome: correlating
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international workforce-solutions business operating across recruitment, finance, data, marketing and managed IT services. The successful candidate will also become part of Luton AI, the University
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). Supervision will be provided by Olivier Seksek (CNRS researcher, biologist) and Erika Porcel (Associate Professor at Université Paris-Saclay, medical physicist). The PhD student will work in an
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Analysis and Architecture (LAAS) within the MechaBioFluidics team, which has extensive expertise in microfluidics and microfabrication (a technology platform of the national ReNaTech network), both located
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Department:Neuroscience and Pharmacology Salary Salary:$63,480.00 to Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: A postdoctoral position is available immediately in
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understand, explain and advance society and the environment we live in. Your role The PhD student will work under the guidance of a professor on a research theme and will also contribute to education in a
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project funded by the National Science Center, entitled: “Do stress granules truly matter for cellular protection? A multiparametric analysis of their formation and function under drug-induced stress”. Join
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of posterior curvature. The project will establish optimised OCT acquisition and de-warping methods, build robust segmentation and curvature-analysis algorithms, and validate clinically meaningful shape metrics