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Previous Job Job Title Post-Doctoral Associate - Quantitative Imaging & Human Retroviruses Next Job Apply for Job Job ID 371962 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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on the effect of the language environment on auditory speech processing during early development. The postdoctoral researcher will actively participate in experimental design, data collection and analysis, and
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imaging, in vivo electrophysiology, animal behavior experiments, animal surgery, computational modeling of animal behaviors, or computational modeling of neural dynamics. Some programming skills for data
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Utilize multi-photon optical imaging to study neuro-vascular coupling in the mammalian brain
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221 of the Labor Code). We process the remaining personal data you provided us with in your application documents (including your PESEL number, image, or other additional data, if you chose to provide
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these questions, we use a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the
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bioinformatics. The role will be responsible for developing and characterising human dorsal root ganglia cultures to benchmark the newly developed iPSC derived organoid model systems. This will include processing
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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
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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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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural