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, genomic, and satellite data to study the ocean. The COMPLEx (COMPutational PLAnkton Ecology) team gathers about fifty members studying marine plankton by collecting data with quantitative imaging
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solutions for imaging and treatment planning workflows. Collaborating with physicists, engineers, and biologists to align technological developments with biological research needs. Supporting radiobiology
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at the University of Texas at Dallas. The Gao Laboratory of Biomaterials focuses on engineering novel polymeric biomaterials for therapeutic applications. This is a 1-year position, renewable up to 2 years pending
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. Preferred Qualifications: Strong background in ultrasound imaging Experience in photoacoustic imaging Strong hands-on skills in medical device development or strong computational skills including signal
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Biomechanics, Mechanical Engineering, Robotics, Bioengineering or related field* Strong background in experimental biomechanics and/or robotics* Experience with microscopy and image analysis (a plus)* Strong
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the frontiers of developmental biology and disease modeling. The laboratory integrates stem-cell biology, fluorescence imaging, bioinformatics, and advanced nano- and micro-engineering to decode organogenesis and
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/molecular approaches, in vivo imaging, behavior, histology, and EEG. The desire to learn new techniques and work as part of a collaborative team is strongly encouraged. Training in new techniques would be
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computing clusters.The project team spans Northumbria University and the Federal University of Rio de Janeiro. You will work alongside academics, post‑docs, PhD students and industrial engineers in a vibrant
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interdisciplinary teams (engineering, medicine, human factors, computer science) to prototype and evaluate medical support solutions for operational scenarios (e.g., spaceflight missions, remote medicine). Conduct
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this technology and create stand-alone units within washroom and cleanrooms. We will develop widefield fluorescent imaging techniques to segment contamination from instruments, with automated multi-spectral overlay