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. Experience in working with animal models, cell isolations from tissues (lung, intestine), human tissue samples, multi-parameter flow cytometry, molecular biology and fluorescence imaging will be preferred. We
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Area of research: Scientific / postdoctoral posts Job description: Postdoc (f/m/x) in Biological Physics / Computational Biology 102913 Full time 39 hrs/week Munich At Helmholtz Munich, we develop
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, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python, is
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/sections/microbiology). The section has well-developed shared laboratory facilities and a permanent support staff of seven highly skilled laboratory technicians. From summer 2026, a new multimodal imaging
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. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
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(Thorlabs) for imaging large cortical and subcortical areas in awake head-fixed animals, two 2-photon microscopes for single-cell electrophysiological experiments in brain slices (Chun et al, Science 2014
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. Nature Physics20, 970 (2024)). You will also work on expanding our coherent imaging methodology to look at dynamics and phase switching in materials at the nanoscale (Johnson et al. Nature Physics19, 215
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, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics
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ICT Services & Applications. Your role The successful candidates will join the Computer Vision, Machine Intelligence and Imaging research group, led by Prof. Djamila Aouada, to conduct research in
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural