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academic work. Your Qualifications: Master’s and PhD degree or equivalent in seismology or related fields Proven research experience e.g. through peer-review publications Excellent written and spoken English
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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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university studies (Masters/Diploma) and - PhD in Molecular Neuroscience, Biochemistry, or a related discipline (Professional) Experience: - Proven expertise in Drosophila neurogenetics (mandatory) - Strong
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correlative image analysis platform enabling automated extraction of sample morphologies (e.g., porosity, tortuosity, connectivity) and fluid flow characteristics from X-ray and electron imaging. integration
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morphologies (e.g., porosity, tortuosity, connectivity) and fluid flow characteristics from X-ray and electron imaging integration of motion analysis in collaboration processing of images in preparation
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DWI-Leibniz-Institute für Interaktive Materialien e.V. | Aachen, Nordrhein Westfalen | Germany | 3 months ago
and bioinks for 3D bioprinting. Active participation in the research activities of the research groups. Provide expert feedback and mentoring to MSc and PhD students. Present your research findings both
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social or behavioral sciences (incl. human-computer interactions with relevant experience). Applicants must demonstrate experience in experimental work with human participants; possess versatile
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standard software used for FRB or pulsar searches and analysis Practical experience in applying Machine Learning methods to data Experience with computer clusters and HPC Willingness to supervise Masters/PhD
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gap thin film materials for the next generation of electronic devices. Project description: Process development and thin film material fabrication by MOCVD and ALD process using state-of-the-art