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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 1 month ago
Job Code: PhD 12/25 Job Offer from September 26, 2025 For our research group “Cognitive Neuropsychiatry” at the Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology
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to neurodegenerative disorders. Your PhD project specifically will focus on developing and applying a versatile high-throughput fluorescence imaging platform. In this function you will: optically design a microscope
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analysis will be used to study the seismic response of prototype structures for different scenarios. Hence, the project integrates advanced element-scale, model-scale and in-situ testing with state
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technical skills. Prior experience with medical imaging data and Python coding is required. If you are interested about this position, please click 'apply now' and submit you application. In case you have any
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. Collect and analyze data from diverse sources, including plant- and soil-based sensors, images, 3D point clouds, remote sensing, environmental variables, physiological measurements, and management records
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of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and
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as well as in a collaborative team environment. We offer A fully funded PhD position for 4 years. Training in cutting-edge fluorescence methodologies and live-cell imaging. An interdisciplinary and
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meter with a non-insulating pipe wall. The research will use existing MHD direct numerical simulations to investigate the flow physics. You will also construct a prototype to test the performance using
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Surface Signaling, Protein Structure and Function, Plant Development, Biomolecular Imaging, Plant Regeneration, Protein Folding and Stability, and Green Mechanobiology. Where to apply Website https
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and survival in host cells. Through a combination of microbiology, imaging, molecular biology, and translational modelling, the PhD student will generate data to support the design of biofilm-resistant