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Education: PhD in Biology related field. Work Experience: Research experience in wet biological laboratories with experience in cell culture, imaging and molecular biology techniques. Experience in working
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limited to, molecular biology and cloning, T cell transduction, flow cytometry, imaging, in vitro and in vivo assays, behavioral tests, and RNA-sequencing. Collaborates on designing, conducting and
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candidate will have a PhD in a relevant biological subject, or MSc / MPhil plus significant experience in industry in the field of computer vision and machine learning. They will also have extensive research
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. Such methods are founded on mathematical models and algorithms from the field of mathematical optimization. The dose planning is based on medical images and a treatment protocol, and it is evaluated by using key
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the technological hurdles at the interface of these disciplines to maximize device sensitivity and deliver a functional prototype, fully validated for transfer to industrial applications. You will be
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in simpler (2D culture) or more complex (animal) models. The imaging data will finally be transformed into quantitative measurements to be analyzed and modeled to understand these processes
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
machine learning, 3D visualisation and real-time images (augmented reality). The main robot will the Tiago++, by PAL Robotics, which is a modern omnidirectlonal, bimanual robot. With the help of a PhD
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leader in the digital world. We are looking for an Assistant/Associate Professor in Video Processing and Animationwith Deep Learning to jointhe Multimedia (MM)teamin the Image, Data, Signal (IDS
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fellowship program which includes advanced fellowships in cardiac imaging, interventional cardiology, cardiac intensive care, pulmonary hypertension, and heart failure/heart transplantation. The division
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give rise to psychiatric symptoms. To do this, we study b rain development with advanced multi-modal MRI imaging, mobile phenotyping, and detailed clinical assessments. The Clinical Research