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for many high-tech companies. Job description This role involves the development of cutting-edge chemical sensors based on metal-organic frameworks (MOFs) that leverage kinetic selectivity to differentiate
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motion) Pose tracking and behavior segmentation with tools like DeepLabCut, MoSeq, and Kinect-based systems Longitudinal analysis of behavior from early postnatal to adolescent stages in
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to financial operations Develop systems for automated regulatory compliance checks, fraud detection, risk analysis, or smart contract orchestration Investigate the integration of agentic reasoning with financial
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live in. Your role The PhD project will focus on Energy Sector Coupling, a key component of the energy transition. In collaboration with an industrial partner - a major energy player in Luxembourg - you
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their impact on bladder function under physiological and pathological conditions. Work will include data acquisition, analysis, and interpretation, as well as collaboration with clinicians for human
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focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and
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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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addition to our expertise in metagenomic analysis and clinical experience, the lab also boasts state-of-the-art facilities dedicated to the cultivation and analysis of colon bacteria. This infrastructure has become
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, and theoretical analysis using Leslie-Ericksen theory for liquid crystal flow as well as theory for viscoelasticity of polymeric liquids. Both in the practical and simulation/theory work you will be