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cheminformatics and statistical tools to identify compounds of environmental and health concern. Key tasks include sample preparation, extraction, and HRMS analysis, as well as processing large datasets involving
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emphasis on fostering a culture of open communication and collaboration, and we strive to build a supportive culture in our endeavors. More research can be found in https://xenopus.rockefeller.edu
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project funded by the National Science Centre (NCN) entitled “Studies on the replacement ability of bitumen with bio-materials based on multi-performance compatibility analysis”. The work will involve
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Area: Computer Vision Group: Pattern and Image Analysis Work Objectives: In terms of deep learning architectures for object detection, particular attention will be given to the analysis of performance
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protocols to analyze lipid fluxes and membrane organization. They will also participate in data analysis and interpretation, as well as the dissemination of results through scientific publications
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application! Your work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction, volumetric analysis
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projects, including conducting surveys, interviews, and focus groups with students and stakeholders; Conduct literature reviews and contribute to data analysis, including statistical analysis using SPSS
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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/Administrative Internal Number: 1116558 Position Summary The Michigan State University-Hurley Children’s Hospital Pediatric Public Health Initiative (https://msuhurleypphi.org/) in the C.S. Mott Department
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participation in several research cruises per year (approx. two weeks each) in the North and Baltic Sea Taxonomic identification and quantitative analysis of marine benthic infauna and epifauna communities