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for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated postdoctoral
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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media formats, including television, film, digital platforms, and live events. Technology and Innovation: Exploring the role of emerging technologies in enhancing media accessibility. This could involve
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imaging of mouse and human urothelium, X-ray videocystometry in awake mice, and optogenetic modulation of urothelial cells. The candidate will design and conduct experiments exploring mechanosensitive ion
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-ray videocystometry in awake mice, and optogenetic modulation of urothelial cells. The candidate will design and conduct experiments exploring mechanosensitive ion channels (e.g. TRPV4, PIEZO1/2) and
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relations and in interaction with organizations, to gain insight into computer-mediated communication, its applications and effects, and to pursue evidence-based communication strategies, instruments and
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. Applicants should demonstrate expertise in programming languages such as Python and/or R, as well as experience working with high-performance computing clusters. The successful candidate will be a team player
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course for the future – a future that you can help to shape. Position The research group ARCHES (Antwerp Cultural Heritage Sciences) of the Faculty of Design Sciences at the University of Antwerp is
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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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Post-doc eligibility criteria Required Skills Minimum 3 years hands on experience with complex flow cytometry is required, including panel design, testing, troubleshooting and analysis Experience in