303 assistant-professor-and-human-centric-computing Postdoctoral positions at Nature Careers
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Job Advertisement HKI-37/2025 The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI I https://www.leibniz-hki.de/en/ ) investigates the pathobiology of human
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, and computation in a collaborative environment, offering postdocs the chance to lead high-impact, interdisciplinary projects at the forefront of neuroengineering. We are recruiting a highly motivated
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challenging research and work in a highly collaborative manner. Projects will discover potential new targets to guide the personalized treatment of devastating human cancers of unmet need. For more information
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viral diseases. The laboratory uses a combined human natural history study and experimental laboratory approach to understand host-pathogen interactions longitudinally during illness in blood and tissue
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, preferably in Python, Fortran, Matlab or R #experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory #capability to work in a team but able to formulate and carry out
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infectious disease epidemiology. This position offers an exciting opportunity to contribute to the FFG-funded project Zoonoses & Climate , supervised by Associate Professor Amélie Desvars-Larrive in
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electrophysiology to translational models, including animal studies and analyses of human tissue samples. This full-stack methodology enables us to directly link molecular channel function with disease phenotypes
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, academia and research with scientific and technological innovation, and assist in the high-quality development of the regional economy and society. Focusing on the four cutting-edge fields of physics and
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background in organic chemistry 2. Applicants must have demonstrated excellence in research relevant to the work on the projects described above. Report To : Professor Fujie Tanaka Working Location : Main
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(TMJ) degeneration and pain, and salivary gland degeneration. The lab uses mouse and human iPSC/organoid models equipped with genomic, single cell RNA sequencing, spatial transcriptomics, tissue clearing