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or related degree. Curiosity, resilience, and an interest in interdisciplinary, impact-driven research are essential. Experience with ecological fieldwork, data analysis (e.g., R or Python), or public
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skills in scientific programming and quantitative analysis, preferably in python; affinity with climate science and/or policy modelling; excellent written and verbal communication skills in English
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a relevant subject (computer science, mathematics, or related subject) Proficiency in English (both oral and written) Python programming skills. Solid mathematical background is desirable. Studentship
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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. ability to code MBSE models in Capella. proficiency in Python programming. Application Welcome with your application, no later than October 7, 2025, including: Motivation letter CV Certified diplomas
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normative modelling is an advantage. Programming skills (Python, C/C++) and experience with MRI morphometry are desirable. Furthermore, the applicant should be able to work both independently and in a team
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) Research experience in neuroscience, biological psychiatry, or mental health Skills in statistical analysis and programming (e.g., R, Python); willingness to develop these skills is essential Strong ability
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psychoneuroendocrinology, enthusiasm for interdisciplinary research, and strong skills in experimental set-ups/performing lab-based studies and statistics. Programming skills (Python, R, Matlab) and experience with MRI data
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. Essential qualifications include solid programming skills (preferably in Python and R), proven experience in the analysis of large-scale datasets (e.g., NGS, metabolomics), and familiarity with statistical
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Institute National De La Santé Et De La Recherche Médicale | Paris 15, le de France | France | 9 days ago
equivalent in systems biology, computational biology, bioinformatics, or a similar field. The candidate should have good programming skills in Python or MATLAB, and ideally R. Good knowledge of biochemistry