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Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 2 months ago
. The researcher must be able to combine already known immunological and molecular biology methods but also has to develop new techniques in order to investigate diseases of poultry. The successful applicant will
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chromatography. The candidate will prepare samples for immunopeptidomics by liquid chromatography coupled with mass spectrometry tandem (LC-MS/MS), analyze large datasets, and develop scripts and machine learning
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. Available computational resources include two shared clusters at Merced, computing nodes dedicated to the group, and national supercomputing centers. The successful candidates will prepare journal articles
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Balears (UIB) Where to apply Website https://ppi.uib.cat/inici/ Requirements Research FieldAstronomy » AstrophysicsEducation LevelPhD or equivalent Skills/Qualifications A PhD in Physics, Astrophysics
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and Communication to Protect Vulnerable Road Users For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/ The University
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: 278296 Minimum Education and Experience: Minimum Education: Ph.D. in chemistry, physics, computer science, or a related field, or Ph.D. expected by May 2027. Experience: Demonstrated experience in at least
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one of the top universities in the world. Application can be sent directly to this email: [email protected] Group information: https://sites.google.com/view/qlmgroup/home Information about the
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position within a Research Infrastructure? No Offer Description Activities and context: The fellow will develop machine-learning interatomic potentials (MLPs), trained on density functional theory-DFT data
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), ALS, long Covid and other CNS diseases. · Apply multi-omic profiling (small and long RNA-seq, lipidomics) to define exosomal cargo signatures associated with different disease states. · Develop and