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to explore the regulation of mRNA modifications in developing cortical neurons. Key techniques will include biochemical approaches, fixed tissue imaging, stereotactic surgery, structural and functional
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and practical skills in the field of data science, especially multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability
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will develop and exploit mesoscopic, and multiscale computational models to assist medical applications of ultrasound-guided drug and gene delivery and imaging. The project focus are the encapsulated
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-based, portable POC device with smart-phone control), and (3) automatic image analysis-based smartphone application for pathogen detection. They should also be adaptable and able to work with a range of
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decide the fate of their RNAs - whether to translate, store, or degrade them. Using biochemical reconstitution, fluorescent labeling, and single-molecule imaging, you will explore how molecular machines
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related field, and experience in one or more of the following areas: multiphoton imaging, optogenetics, calcium imaging, and / or in vivo electrophysiology. Applicants without prior experience in
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of the award, awardees will be considered for Assistant Professorship. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout
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of experimental statistics, signal processing and excellent programming skills (eg Python, R, ...). Previous experience with model-based fMRI experiments, advanced multivariate data analysis and computational
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Description Job Responsibilities: -Conducts research activities on insect midgut biology in arthropod systems in contained laboratory environment. -Design and perform proteomic, transcriptomic, imaging and
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deep learning techniques to improve image processing and trait prediction. Analyze large datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress