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curating ground truth data for training machine learning classifiers to segment neurons and detect synapses. Desirable: Experience in working in a laboratory environment, mentoring fellow research scientists
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tissues • The development of computational methods ranging from image processing to machine learning to analyse, segment, model, and quantify large-scale time lapse datasets Main duties
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evolution, Illumina sequencing, data analysis and machine learning and structural biology methods such as X-ray crystallography and CryoEM. Track record of research: This will include achievements, and
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techniques in a fast-paced environment with a strong team focus. This represents a unique opportunity to acquire a strong practical knowledge base in a broad range of highly desirable transgenic biology skills
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lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin axon development. This project aims to establish a high
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Experience with statistical analysis, machine learning methods, and high-performance computing Desirable: Experience with spatial transcriptomics, 3D genome analysis, or epitranscriptomics Familiarity with