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this condition. You will evaluate their interactions by building in silico models to establish the relationship between mechanical loading, cell imaging, in vivo micro-CT, and spatial transcriptomics, identifying
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integrates molecular, imaging, and neurophysiological approaches to understand neurodevelopmental disorders, with particular focus on perineuronal nets and their role in seizure susceptibility. This position
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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 6 days ago
candidate. Job requirements Essential PhD in ecology and evolution, animal behavior, collective behavior, or a related field Fundamental interest in biological phenomena and an open-minded approach
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, data acquisition, Ethernet based field buses, machine vision, AI, C / C++, software development, advanced Imaging, spin off. The Mechanical Engineering department of the VUB is looking for a PostDoc
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function of various centriole and centrosome proteins using a variety of imaging and analysis techniques in living Drosophila embryos. Experience with advanced light microscopy and analysing large imaging
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University is seeking a Postdoctoral Researcher to work on projects related to digital holography and optical coherence tomography. Candidates should have a PhD in electrical or biomedical engineering or
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, national origin and veteran or disability status. Minimum Qualifications Applicants must have obtained a doctoral degree (MD, PharmD, or PhD) in one of the following disciplines: Pharmaceutical Sciences
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researcher will work under supervision of Aurélien MARTENS in the ILE group of Accelerator pole and in close collaboration with a PhD student at IJCLab, and external collaborators.. References: N.Yu. Muchnoi
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validated using high-throughput screening data, including microscopic images as well as genetic and proteomic expression data. This approach will then be applied to elucidate previously unknown gene functions