374 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" Fellowship positions
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly
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Application Deadline 8 Mar 2026 - 23:59 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 37 Is the job funded through the EU Research Framework Programme
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decarbonization, grid modernization, and the integration of distributed and flexible energy resources. Research topics may include—but are not limited to—AI-based grid operation and planning, reinforcement learning
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, interdisciplinary research environment at UBC, with access to high-performance computing resources and high-quality omics datasets. The position offers opportunities to work closely with experimental and
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ensuring access to primary samples from a diverse, nation-wide pool of patients. Our high-throughput science is enabled by state-of-the-art facilities for next-generation sequencing and high-performance
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to conduct statistical analysis, translate findings into clear and compelling written products, and perform data management tasks for a variety of health policy research projects and client
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after the start of the research project leading to the Ph.D. degree. Read about admission to the Faculty's PhD program here: https://www.sv.uio.no/english/research/phd/application/phd-fellowship
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high level of expertise through current scientific literature. Enhance the laborator's repertoire of techniques: Develop or import innovative techniques and experimental systems to meet research program
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peptidomimetics will be analyzed by high-performance liquid chromatography (HPLC) before and after incubation with the relevant enzymes. The same samples will also be analyzed by liquid chromatography–mass
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 2 months ago
participation in the project “Collaboration in the operation and physics data analysis at the CMS experiment at CERN”, in the framework of the program “Financiamento Plurianual de Unidades de I&D “UID_50007_2025