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derivatives against the target protein; hUPF1. Design in vitro and in vivo experiments. Make in vitro experiments for the selected ligands (and derivatives) for the UPF1 protein and cellular thermal shift assay
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, scientific conferences and other scientific events. Contribute to the preparation of scientific manuscripts and research publications. Where to apply Website https://jobs.vhir.org/jobs/8357465-predoctoral
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of an application for the specific project formulated by the applicant. Terms of appointment and payment accord to the agreement between the Danish Ministry of Taxation and The Danish Confederation of Professional
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and aquaculture, and landscape studies. As a higher education and research institution under the authority of the French Ministry of Agriculture, Food Sovereignty and Forestry, we train professionals
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Supervisor: Dr Guiping Wang Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 2 hours ago
Intelligence and the Life Sciences. We are building an AI-native, closed-loop research engine where automation, computation, and intelligent agents work together to decode, model, and rewrite biological circuits
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interpersonal skills, and the capacity to build trust and maintain productive relationships over time. Excellent academic writing and communication skills in English. Employment The scholarship is currently EUR
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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools