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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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applied component are particularly encouraged. As such, the programs will address scientific questions related to the microbial ecology of the food production chain and the genetic, physiological and
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our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series intervention
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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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reliable, safe, and secure software systems, carrying out both upstream activities such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities
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. covering aspects such analog lumped-element circuit modelling and simulation, PCB design) and on a system integration level (e.g. covering aspects such as interfacing, analog-to-digital conversion, sensor
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cortical neurons into mouse brain In vivo 2-photon Ca²⁺ imaging, visual plasticity paradigms, and behavioral analysis Transgenic mouse models combining SYNGAP1 mutations with humanized SRGAP2C
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aims to build novel databases and software suites to lower the barrier to computational analysis of clinical data modalities and to provide accurate in-depth simulations of disease evolution with
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specializes in fluorescence and Raman-based approaches, integrating advanced microscopic analysis to gain molecular-level insights into complex materials and systems. The lab is internationally recognized
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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