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experience with existing single-cell methods and software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English
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. Collaborate with people with diabetes, diabetologists, software engineers, and clinical psychologists to develop and validate prototype tools. Contribute to qualitative and mixed-methods research to ensure user
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team
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, including the development and use of 3D models and the study of extracellular vesicles Analyze high-throughput data sets using R or similar software Present research findings in meetings Document performed
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-et-fluides-… This work will be carried out as part of the European ERC 'CohPa' project, as part of a collaboration between the d'Alembert laboratory in Paris, the birthplace of the Basilisk software
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track (2 years at IMT Atlantique + 12 months at Vrije Universiteit Brussel, Brussels, Belgium). 1.1. Domain and scientific/technical context The energy consumption of software infrastructures and
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of Humanities, Education and Social Science at the University of Luxembourg. The xCIT research group has developed a comprehensive suite of software tools for developing and deploying online studies as
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co-managed by two deputies: Christian Vestergaard, a theoretical physicist, and François Laurent, an applied mathematician and software engineer. The laboratory’s research is centred on uncovering
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strong interest in computer science (software development, machine learning techniques, etc.) is desirable. · Applicants must have a maximum of 3 years of research experience after the PhD. · Language
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; Signal Processing; Automatic Control; Applied Mathematics. Expected skills: - Proficiency in scientific computing software for algorithm prototyping: Python, Julia, Matlab, etc. - Mastery of computer tools