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biogenic particles; the effects of fronts, eddies, upwelling, and other mesoscale processes on biological communities; applications of remote sensing integrated with in situ observations, numerical modeling
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, throughout the project development period. Desirable requirements: Previous experience in forensic science, food traceability and authentication, and application of nuclear analytical methods; experience in
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metabolomics). The project involves the analysis and integration of high-dimensional datasets derived from animal models, human samples and publicly available resources. RESPONSIBILITIES Develop and apply
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recipient will contribute to the core research theme of the RATIONAL project, which focuses on investigating and developing robust evidence-based retrieval methods for Natural Language Inference (NLI) tasks
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position within a Research Infrastructure? No Offer Description Activities and context - The selected fellow will conduct research to develop and characterize an innovative, oral vaccine platform utilizing
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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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to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
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, within a Thematic Project (FAPESP grant number 2022/14753-0 ) jointly funded with the Netherlands Organisation for Scientific Research (NWO). The fellow will develop and validate an electrochemical
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position within a Research Infrastructure? No Offer Description Activities and context: The project “Co-production and Implementation of a Care and Professional Training Model in Municipal Health Units in
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area: Development of bioinspired antioxidants based on betalain molecular scaffolds; reactivity toward reactive oxygen/nitrogen species and electronically excited (triplet) states; photobiological