36 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at University of Luxembourg
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2027 - 12:55 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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2027 - 12:50 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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live in. The selected candidate will join the group Physics of Active Matter at the University of Luxembourg: https://efodorphysics.github Your role The project aims to develop novel analytical and
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diplomas • curriculum vitae • short personal statement • names of 2-3 references who have agreed to be contacted To apply, click the button at the bottom of the linked page: http://emea3.mrted.ly/44vue
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, united by a shared commitment to advancing sustainable technologies that benefit society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ For
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. program that includes training in transferable skills, support for career development, lectures and teaching by international experts and annual Ph.D. symposia. Upon successful completion of the doctoral
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of analysis pipelines Development, maintenance and application of programming scripts for omics data analysis and creation of network and machine learning models Data integration support for analysis pipelines
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Mathematics, or a closely related field A strong interest in machine learning, AI, security, reliability, and the latest technologies Strong programming skills in Python or other programming languages Interest
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propagation, pointing, acquisition and tracking, and atmospheric effects Programming and instrument-control skills, e.g. Python, MATLAB, LabVIEW, for data acquisition and analysis A genuine interest in pursuing
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intelligence and large language models for data analysis, and bioscientific programming. The candidate should have experience in the analysis of large-scale biomedical data, e.g.: omics or clinical data, using