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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 1 day ago
opportunities for cutting-edge research projects. Students benefit from the extraordinary infrastructure enabling all types of cognitive neuroimaging experiments. The IMPRS CoNI covers all major imaging and
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advanced molecular and cell biological techniques, including variant screening, RNA expression analyses, immunofluorescence microscopy, and transmission electron microscopy Collecting and processing patient
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heritage, materials science, and physics. Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity. Context & Job description Thesis subject: Sub Nanosecond Imaging
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to the efficient operation of the research work area by providing essential research support. Your key responsibilities will be to: recruiting study participants, liaising with potential participants
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, spectroscopic signatures, microstructural images, processing conditions, and macroscale performance will be used for the optimization of materials. The candidate will collaborate extensively with in
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. The IoPPN aims to change and shape how we understand, prevent and treat mental health and other conditions that affect the brain. We work to transform care for people who are affected by mental health and
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for Development of Gene Therapies TREAT-EXP in the project FENG.02.01-IP.05-M038/25, TREAT-EXP: Development of therapeutic strategies for human genetic diseases caused by nucleotide repeat expansions. The FENG
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, with fixed nuclei, driven by ultra-short XFEL-pulses; • controlling the interplay of single-photon ionization and Auger-Meitner processes, the coupling of electron and nuclear motion, and imaging
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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analyze imaging (DHM) and sequencing datasets (RNA-seq, Ribo-seq where relevant; nanopore long-read). • Perform computational analysis: differential expression, splicing, RNA processing and modification