20 web-programmer-developer-"INSERM" Postdoctoral positions at University of Luxembourg
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Since 2006, the University of Luxembourg has invested in its own High-Performance Computing (HPC) facilities. A special focus was placed on developing large computing power combined with massive
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constituent entities; 2). The major regional systems (European, Interamerican, African) for the protection of human rights; and/or 3). Issues of academic freedom and the development of regional/international
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researcher) at the Centre for Childhood and Youth Research (CCY) within the Department of Social Sciences. The CCY is a multidisciplinary research group studying youth development and social inequalities. It
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, systems development experience is an asset. Hard Skills: Strong programming skills are an asset Soft Skills: Most importantly, we seek individuals who are curiosity-driven especially interested in
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in
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SIMPATHIC Project: The SIMPATHIC project is dedicated to optimizing drug repurposing to address unmet medical needs in rare diseases. Our novel approach involves the simultaneous development of repurposed
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with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty’s research and teaching focuses on social, economic, political and educational issues
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development. The University invests in its knowledge and technology transfer through an attractive intellectual property policy and numerous partnerships. 7,500 students are enrolled at Uni.lu, of which 1,000
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to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address challenges in stem cell research and aging
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are internationally recognized for our GDPR compliant data hosting solutions and data management systems. We develop innovative methodologies for data mining, federated data analysis, and data FAIRification. We