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to have the following skills and experience. We welcome applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep
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work hands-on with clinical data and build robust deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image
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perform screenings methods to identify molecules involved in the astrocyte-synapse interactions. Experiments will involve the isolation of cells and subcellular fractions from mouse brain as well as the use
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a broad experimental background and are motivated to work in an international and multidisciplinary setting. Experience with research in low-resource environments, such as sub-Saharan Africa, is
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algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates to have the following skills and experience. We welcome
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deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement
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images and delivered to the robot. To be successful in this role, we are looking for candidates to have the following skills and experience. We welcome applications from individuals with experience in
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medicine, psychology, or similar. Moreover you have: Experience or interest in radiology and/or medical imaging and affinity with biomedical research. Experience with SPSS, SAS, or R is required. Excellent
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in experimental (marine) biology/ecology and an interest in molecular ecology to investigate the prospects of using marine vegetation (e.g., seagrass) to improve the health of commercially important
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the project. Requirements PhD in Analytical Chemistry, Microfluidics, Chemical or Biomedical Engineering, Robotics, or a related field. Hands-on experience with microfluidic systems, segmented flow, and