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the SOFA framework to model the larva’s body dynamics. Create a mesh model of the larva with the main organs required for simulation and develop plugins to control muscle and body properties. Modelling
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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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chemistry software (e.g., Gaussian, Dalton, TurboMole) is highly desirable. Background in Density Functional Theory (DFT) and Time-Dependent Density Functional Theory (TD-DFT) are desirable assets. Strong
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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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training opportunities, embedded in a networked research community at the interface of chemistry, physics, and astronomy Werequire: M.Sc. (or equivalent) in chemistry, preferably specialized in analytical
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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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constructively towards collectively defined research goals together with colleagues and collaborators Contribute to the teaching activities at the University of Luxembourg For further information, please contact
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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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approaches. Our attractiveness is reinforced by our network of international partners and our location in a territory with a strong scientific and technological dynamic and where life is good. Where to apply