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of Barcelona; Particle Physics Phenomenology group. Main responsibilities / tasks: 1. Develop anomaly detection methods using Machine Learning and Simulation-Based Inference for high-dimensional parameter spaces
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and modelling of omics, clinical and imaging data, development of reproducible pipelines, application of machine learning techniques, integration of multi-modal data, scientific publication and
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Applied to Neuroscience and Drug Discovery Where to apply Website https://gestiononline.bioef.eus/ConvocatoriasPropiasBiobizkaia/es/Convocatorias… Requirements Research FieldOtherEducation LevelPhD
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communication skills; ability to work effectively in an international environment. • Demonstrated ability and motivation to learn new techniques and procedures. • Experience with control and data acquisition
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Website https://jobs.vhir.org/jobs/7377061-postdoctoral-researcher-stroke-research Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Skills/Qualifications Education
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to apply Website https://jobs.vhir.org/jobs/7365438-postdoctoral-reseaarcher-liver-diseases Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Skills/Qualifications
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to be developed: Analyze iEEG data. Develop multimodal algorithms. Perform the characterization of the epileptogenic network. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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learn about carcinogenic mutagens (https://www.biorxiv.org/content/10.1101/2023.12.06.570467v1 ), while studying the spatial genetic heterogeneity of tumors tells us about the tumor mode of growth (https
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of diagnostic tests for primary ciliary dyskinesia and in the establishment of cell cultures for the development of new therapies. Where to apply Website https://jobs.vhir.org/jobs/7351096-postdoctoral-researcher
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the interplay between mutations, energetics, and evolutionary constraints, including epistatic effects. · Developing or applying machine learning approaches to predict or redesign frustration patterns in proteins