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and analysis of mathematical methods for novel imaging techniques and foundations of machine learning. Within the project COMFORT (funded by BMFTR) we aim to develop new algorithms for the training
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team composed of researchers, engineers, bioinformaticians, biostatisticians and a project manager. The ideal candidate should hold a Ph.D. in Population genomics, Statistical Genomics, Evolutionary
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available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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Nanomaterials that detect protein-structural changes Nano-optical devices for protein-signal sensing AI algorithms for protein structure and dynamics prediction Outstanding Postdoctoral Training Strategy
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neurodevelopment and neurodegeneration of the visual system. Our team applies interdisciplinary approaches, combining multi-omics, genetics, molecular biology, evolutionary biology, viral tools, advanced
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should include: Curriculum Vitae List of publications Copies of diplomas Names of at least 2 potential references Early application is highly encouraged, as the applications will be processed upon
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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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Temporary contract | 24 months | Belvaux Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
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. The application should contain a cover letter (maximum 1 page) describing the applicant’s research interests, an updated CV with a list of publications, copies of diplomas and certificates of higher academic