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flow characteristics from X-ray and electron images integration of motion analysis and digital volume correlation processing of images in preparation for image-based modelling Your profile PhD in physics
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the scope of BlueMat, taking advantage of the collaborative network within the excellence cluster Your profile PhD in physics or in a related discipline experience in phase contrast or coherent X-ray imaging
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
between the Leipzig University of Applied Sciences, the Czech Academy of Sciences, and the MPI-CBS. Candidates should hold a PhD and have a background in engineering, computer science, neuroscience, physics
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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Contributing to patent applications Supervising students (if desired) Your profile Your Scientific Qualifications PhD degree in Biology / Life Sciences / Biotechnology / Biochemistry or related fields Excellent
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and others) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics
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researcher will be working in a team with other researchers, including PhD students, it is essential that applicants demonstrate good communication skills. What we offer The successful candidate will become
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Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
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actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas within the broad
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institution of TUM Campus Heilbronn that uses data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning