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Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial
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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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educational sciences. People from across 20 disciplines are working within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's
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will develop and apply microfluidic diffusional sizing, free-flow electrophoresis and single-cell biophysical measurements in order to quantify sHsp-IDP interactions. These studies will be complemented
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established, the research group focuses on understanding how genetic alterations in cancer cells shape the immune microenvironment of brain metastatic tumors, with the long-term goal of developing novel
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. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize
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The position is located within the Institute for Social Research and Interventions, which is dedicated to critical and multidisciplinary perspectives on societal transformation and human development
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area of machine learning. This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental and simulation facilities where required; planning, executing
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The SnT is seeking a Doctoral Researcher to support the research and development work within the SEDAN group (https://www.uni.lu/snt-en/research-groups/sedan ). We seek a candidate with expertise
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-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy