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position The Laboratory of Causal Systems Immunology is looking for a PhD student or postdoctoral researcher to advance in vivo perturbational screening. We have developed single-cell CRISPR technologies
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available at https://www.maths.gla.ac.uk/~rboyd/ . Applicants are therefore expected to have research experience in algebraic topology or low dimensional topology. Expertise in manifolds, knot theory, operads
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: relevant experience may be evidenced through publications, applications and systems developed, and the research topic of the candidate’s Master’s or PhD project (1 PDF file). Apply via the form: https
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/2026 per il conferimento di n. 1 incarico post-doc per ricerca scientifica, di Fascia 2 presso la Sezione di Genova. Where to apply Website https://www.ac.infn.it/ Requirements Additional Information
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of research activities concerning the development of innovative immunotherapeutic approaches for the treatment of glioblastoma multiforme (GBM), through the use of polymeric nanoparticles, selfassembling
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of human microbiomes in endometriosis.” - The research project aims to develop and characterize 3D tissue models based on collagen and other hydrogel matrices to investigate cell-matrix interactions and
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of Staphylococcus species isolated from acute and chronic PJIs. AIM 3: To develop an in vitro platform to investigate the role of the agr quorum sensing (QS) system in biofilm formation, modulation of the immune
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selection process for an indefinite employment contract within the framework of a Line of Research: R&D line: Strategies for Product and Process Development in the Food Industry to Improve Sustainability
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Posting Description SALES DEVELOPMENT REPRESENTATIVE, Open Learning, to join MIT Workforce Learning; use prospect lists to send cold email campaigns to learning and development leaders and senior
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE ECONOMICHE | Italy | 10 days ago
of the research scope, geographical contexts, and relevant data sources; 2. Design of the data model and variable dictionary; 3. Manual and automated data collection and development of the associated data pipelines