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working in interdisciplinary and international teams and have image processing or image analysis skills. In addition, you are able to express yourself confidently both orally and in writing in English. What
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. The Leibniz-Institut für Kristallzüchtung currently offers a PhD student (m/f/d) for the topic “Investigation of defects and dislocation dynamics in Ga2 O3 crystals by 3D X‑ray diffraction imaging and
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study in Parkinson’s disease. Opportunities will be provided to learn about clinical research, behavioral and neuropsychological assessments, as well as image processing in collaboration with our image
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candidates to perform research on a closed-loop and non-invasive ultrasound neuromodulation treatment of focal epilepsy. The candidate will perform fiber photometry imaging and focused ultrasound insonication
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System analysis, prognosis and control Transport processes Image Processing High Performance Computing Financial Mathematics Materials characterization and testing What you bring to the table You have
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programme is the aim to develop DPE students into active participants and members of the international scientific community. Doctoral students and postdocs receive specific and comprehensive support in
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams
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preclinical experiments on ex vivo brain slices and in vivo rodent models to investigate and optimize the effects of TIS Analyze ex vivo and in vivo electrophysiological and fMRI imaging datasets Collaborate
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to better understand the genetic and clinical variability of PRPH2-IRD by studying a large patient cohort with detailed genetic analysis and advanced imaging techniques. The project will focus on identifying
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the research areas of Infection Medicine and Microbiology, Immunology, Oncology, Neurosciences, Pharmacology/Cardiology/Vascular Medicine, Imaging Technology and Biomedical Engineering, amongst others. A large