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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
the foundation for scientific discoveries with real impact, shaping the future of health. The Institute of Biological and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging
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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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Responsibilities Design, assemble, and optimize optical experimental setups (femtosecond laser illumination, PMT imaging/detection, opto-mechanical components) to evaluate new technological concepts related
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the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and treat them. The Institute is
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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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Intelligence? Our research group CVI2 - Computer Vision, Imaging and Machine Intelligence, headed by Prof. Djamila Aouada, is seeking a talented researcher to take on a leading role within an innovative and
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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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Portal https://securemail.tu-dresden.de by sending it as a single pdf file to uwe.hampel at tu-dresden.de or to: TU Dresden, Chair of Imaging Techniques in Energy and Process Engineering, Prof. Dr
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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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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