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of neuromodulatory neurons and circuits in the brain. We use a combination of molecular and systems neuroscience tools to visualize, record, and manipulate neural populations to understand their function and
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), document management, and KPI visualization. Developing and supporting internal systems, including LIMS (Laboratory Information Management System) and existing DevOps solutions (e.g., Ansible, GitLab
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
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. The Assistant Professor is expected to contribute to teaching and program and course development in bioinformatics, data visualization, machine learning, biological statistics, and statistical and
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other omics data Specialized skills: Proven track record in analyzing affinity proteomics data (e.g., Olink, SomaScan, Luminex,Quanterix). Experience with data visualization tools (e.g., ggplot2, seaborn
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are looking to fill the position as DDLS fellow in Data-driven precision medicine and diagnostics. Data-driven precision medicine and diagnostics cover data integration, analysis, visualization, and data