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data, and assist with image-based analysis Support laboratory workflows such as tissue handling, histology, immunofluorescence, qPCR, ELISA, and related analyses Maintain accurate databases, study
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, or materials characterization. Experience with CT reconstruction or analysis software (e.g., Dragonfly, Avizo, VGStudio MAX, or similar). Experience with scientific data analysis software and image processing
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Department of Data Science and Artificial Intelligence Research Assistant (three posts) (Ref. 260420001) [Appointment period: each for twelve months] Duties The appointees will assist the project
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of strategic management and/or demonstrate high abilities in advanced secondary data manipulation and analysis. Applicants are invited to contact Prof. Zhang Huihui at telephone number 3400 2331 or via email at
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), assisting with cell culture, immunohistochemistry and assisting with image analysis and data collection. Organizational Status ICORD is a world leading health research centre focused on spinal cord injury
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analysis tools for the large data stream of HTP phenotyping for assessment of abiotic and biotic stress tolerance (e.g. determine extent of damage to a disease or functional response to humidity); also
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will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with particular emphasis on deep-field observations. The position provides access to large, high
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for immunofluorescence imaging of mouse and human tissue, data generation, data analysis, and assay troubleshooting. General Responsibilities As a Researcher Senior Lead, you will be at the forefront of research
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 2 days ago
experience in: • Cell culture techniques. • Genomics and sequencing technologies. • Quality management systems. • Use of computer applications and databases. • Statistical analysis. Desirable qualifications
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis