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dissemination of research results Operation, setup, and maintenance of laboratory equipment. Experimental data processing and analysis. Requirements: The successful candidate must hold a Ph.D. degree in Materials
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) for industrial process definition, the HUD (University of Huddersfield)(2 months) for bio-metrological verification, and KUL (KU Leuven)(1 month) for microfabrication process-chain analysis. Where to apply Website
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the development of the optical strategy and its integration with the electrochemical one. Besides optimizing a sensitive quantitative phase imaging setup for analysis of thin surface layers in reflection mode, it
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
machine-learning methods, you will analyze flame-turbulence interactions, pollutant formation, as well as unclosed terms relevant to LES modeling. The analysis involves the fluid dynamic as
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, microscopy, proteomics, and chromatin-based assays. You will work with sequencing-based datasets and contributing to bioinformatics analysis and interpretation of data, and support the development and
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these findings in a real-world ecological context. The student will gain a broad skill set, including behavioural tracking, microbial manipulation, chemical analysis (GC-MS), molecular biology, and
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design, and data analysis. Working in the De Vega Lab at the Earlham Institute and collaborating closely with researchers at IBERS, you will have access to cutting-edge computational infrastructure and a
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Responsibilities The successful candidate will conduct research in the field of hardware and software for embedded systems, specifically focusing on the design, implementation, and analysis of system software and
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, for acknowledgment of sources and collaborators. Provide necessary social and cultural contextualization of transcriptions/translation, and contribute to comparative analysis of epic, ballad, and oral narrative
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-derived organoids, cytotoxicity assays, flow cytometry, molecular work and laboratory animal experiments. Good and demonstrable experience in the analysis of biological datasets with informatics techniques