11 programming-"https:"-"https:"-"https:"-"https:"-"IDAEA-CSIC" research jobs at University of Luxembourg
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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
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entrepreneurship research community Completing the training program of the Doctoral School in Economics, Finance and Management Beyond the core research activities, the doctoral researcher is expected to engage in
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. For further information, please contact Dr. Maxime Cordy Your profile Master in Computer Science. Major in machine learning or software engineering is an assetStrong programming skillsStrong analytical
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, such as technical testing platforms for AI. Your profile PhD in Computer Science, with a thesis related to machine learning, software engineering, software security or a related area Strong programming and
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and contributing to international scientific debates on ecological justice, climate resilience and sustainability transformations. Main responsabilities: Plan and conduct project research independently
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programming, e.g. Python or MATLAB, and an interest in concepts from reservoir computing or machine learning, is welcome A genuine interest in interdisciplinary research at the interface of biology, engineering