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microstructure), and computer science (machine learning and artificial intelligence) to achieve a breakthrough in predictive microstructure imaging with MRI. Within the ADAMI project, you will develop and optimize
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3D multiplexed tissue imaging. BAIR supports users at every stage of the imaging process, from experimental design and sample preparation via in-depth training to developing complex automated imaging
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oriented to improve digital skills. Access to CSIC infrastructure (e.g., HPC, Bioinformatic and Computational Biology Connection) Where to apply Website https://docs.google.com/forms/d/e/1FAIpQLSeGVtNv_
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University of California, San Francisco | San Francisco, California | United States | about 13 hours ago
/index.html Department Description The UCSF Department of Radiology Imaging IT team architects, implements, and manages the computer systems and networks needed to support more than 700,000 imaging studies
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sitting at a computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving
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marine sciences, biological oceanography, ecology, or computer sciences. Strong analytical, numerical and practical skills are essential. Experience in coding or applying quantitative methods in a
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
Biomedical Sciences, Biomedical Engineering, Pharmaceutical Sciences, Biochemistry, Bioengineering, or related fields with a minimum grade of 17/20; - Candidate must be enrolled in a PhD program preferably in
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departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
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://gis.ucmerced.edu Qualifications Basic qualifications Junior Level Required: Bachelor's degree in computer science, engineering, cognitive science, history, archeology, geography or related field. Technical skills
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of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your skills in addressing biological questions