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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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of accessible information; Create and disseminate content through social media channels in collaboration with partners (e.g., Parkinson: Recherche au Luxembourg, Parkinson Luxembourg asbl…) to raise awareness and
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statistics Contribute to an internationally competitive research team in Mathematical Statistics and Data Science at University of Luxembourg Take part in the scientific activities (seminars, colloquia
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maintenance and data analysis; Established expertise in in vivo ultrasound and/or optical imaging is an asset; Desire to extend knowledge to address the varied needs of the imaging platform, including
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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to develop a research line related to the assessment of these processes in daily life (e.g., daily diary studies, ecological momentary assessment) and the combination of self-report and sensor-measured data
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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Keywords Optogenetics, 2-photon activation, large scale electrophysiological recordings, mouse model Lab description Processing of auditory information in the brain is complex because information
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machine learning. • Experience with blackbox/zeroth-order methods and bilevel optimization is a plus. • Strong programming skills and a track record of research publications. Practical Information
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: - automatic: requiring minimal user intervention - generic: being agnostic to the nature of the input - unconditionally robust: resilient to defects and ill-posed data - efficient: being able to scale