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and biomechanical assessment of abdominal aortic aneurysms. Information As a PhD candidate, you will contribute to the prestigious NWO VICI programme "(R)evolution in Abdominal Ultrasound Imaging
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) (RG) in the scope of R&D projects ShoreSustain – Securing the long-term sustainability of highly mobile natural values: migratory shorebirds and their habitats / Centre for Environmental and Marine
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cohort of doctoral researchers and benefit from ReDiLEEP training in response diversity methods, data management, reproducible code, R/Tidyverse, machine learning and AI for ecologists, visualisation
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/genome biology, minimum grade B (ECTS grading scale) or equivalent. The Master’s degree must include a thesis of at least 30 ECTS. Programming skills in Python, R or equivalent scientific computing
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quantitative data and relevant software (Stata, R, Python, or similar) would be advantageous. This is a part-time (32% FTE, 12 hours per week) fixed-term post until 28 February 2027. The Department of Social
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
research, industrial R&D, or entrepreneurship. Upon completion, you will be positioned as a recognized expert in a key domain for industry and research, with diverse professional opportunities in France and
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, longitudinal modelling, machine learning and multivariate approaches. Proficiency in programming (e.g., MATLAB, Python, or R), handling large datasets, and working with complex analysis 2 pipelines is an
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in around twenty joint publications. The project will be jointly supervised by Gurvan Madec (LOCEAN, NEMO R&D team), Stephen Griffies (LOCEAN, NEMO R&D team), and Florian Lemarié (LJK, AIRSEA team
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skills. experience in data analysis, quantitative modeling and programming (e.g., R, python); knowledge of nutrient and/or agrochemical cycles in agriculture; excellent scientific writing skills in English
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quantitative and/or qualitative research methods and be willing to further develop expertise in advanced methodologies. Experience with survey research, content analysis, statistical software (e.g., R, SPSS