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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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programs Posting Summary Prof. Kaelber is recruiting a “dry lab” scientist for methods development in evolutionary biology. The postdoctoral associate will develop and benchmark methods for evolutionary
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services supporting research within the SolMates project development and extension of the web-based research data management platform NOMAD within SolMates contribution to the full software development
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
recurrent gene fusions (ESR1-CCDC170, BCL2L14-ETV6, RAD51AP1-DYRK4) and intragenic rearrangements (IGRs)—a largely unexplored class of genetic aberrations. Precision immuno-oncology: Develop next-generation
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VNF; Hands-on experience in designing, developing, deploying, and/or operating field-deployed wireless, network, and/or distributed systems; Hands-on experiences in edge/cloud systems management
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where necessary. Assist with development, communication and design of research findings to internal and external audiences, which may include web updates, social media, and/or white papers, for use in
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
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) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems
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experience and expertise in web-scale data curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development