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- Hannover Medical School •
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physics, engineering, medicine, biology or a related field Practical experience in optics, signal processing and working with experimental setups (e.g. MATLAB) Interest in medical diagnostics and innovation
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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
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of the PhD programs at the University of Göttingen (see www.gauss.uni-goettingen.de ). The project is highly collaborative and will benefit from working with experts in computer and data sciences, behavioral
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, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Fundamentals of Electrical Engineering, the Chair of Biomedical
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in combining disciplinary knowledge with skills in biomedical data science. These can be either computer scientists or life scientists who already have a training in bioinformatics and are interested
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and spectroscopy Construction and optimization of single-molecule microscopy setups Development of image- and signal-processing software for single-molecule microscopy and spectroscopy data Analysis
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Course location Hannover Description/content In 2003, the MHH founded Hannover Biomedical Research School (HBRS) as an “umbrella organisation” for existing and future structured postgraduate
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | about 20 hours ago
, biology, neuroscience, psychology, biomedical engineering, computer science or an equivalent subject is required. Language requirements English skills are ascertained during the interview process. Non
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in
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Pneumology’ is dedicated to the study of lung and respiratory diseases from the specific perspective of artificial intelligence (AI) in single-cell data analysis and its application in biomedical research