203 design "https:" "https:" "https:" "UCL" "Brunel University London" Master positions
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of the LaserNAVI - Artificial Intelligence Collaborative robot for patient-specific laser of vascular lesion project, code LCF/TR/CI24/56010025, funded by the “la Caixa” Foundation. Scientific Areas: Product Design
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C644914747-0000023 funded by funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 20-Feb to 06-Mar-2026 WHO WE
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the scholarship contract. Work plan: This exploratory project aims to identify and characterise Tfh cells and germinal centre B cells in cattle using state-of-the-art methodologies, including single-cell RNA-seq
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) Solid-phase peptide synthesis; b) Chromatographic techniques for analysis and purification (e.g., reverse-phase HPLC); c) Handling of 3D cellular models and bioprinting. 3. WORK PLAN Collaboration in
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a Research Infrastructure? No Offer Description Work Plan • Survey of the state of the art in predictive and analytical models applied to sports, ranging from statistical and linear approaches to deep
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, if the latter are not from the desired field of study and/or do not possess the relevant knowledge to develop the work plan. I.II - The non-degree-granting course must be related to the type of activity covered
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the use of databases or knowledge in data processing and statistical metrics*; 2. Proficiency in English*; 3. Knowledge of Python, MATLAB or R programming languages*; * mandatory requirement Work plan: The
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public/privé ANR PRC PHD title: Doctorat de Chimie PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137017 Requirements Specific Requirements Candidate
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PLAN Collaborate in the following tasks of the project: a) Participation in the definition and operationalization of use cases, functional requirements, and the design of experimental studies, in
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– “The Phosphatase PtpA as a Suitable target to Fight Tuberculosis – A Structure-based Drug Design Approach”, (ref. 2024.15885.PEX), funded by the Foundation for Science and Technology, I.P./MCTES through national