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Field
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committed to fostering career development in a supportive research environment. Dr. Goodman’s prior trainees have gone on to succeed in PhD and MD programs, join and found biotechnology startups, and pursue
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(graphs, schema, structure models, etc.) to illustrate results of research. ● Communicate findings during regular group meetings. ● Help with writing, assembling, and editing manuscripts, grants and
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI. Experience with Graph Neural Networks, and Large Language Models, including Vector Databases
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operating procedures. - Utilize computer-interfaced equipment and automation for research tasks. Qualifications: - PhD or doctoral degree in biomedical/bioengineering or MD with research experience preferred
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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trait-associated sequence variation. We offer a PhD position at the interface of computational and statistical genomics, and bioinformatics. Project background Cattle are an interesting «model organism
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of data and publication-quality graphs, tables, and charts. Participate in writing manuscripts for publication and grant proposals for research support. Aid in mentoring of undergraduate and graduate
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implications. Generating graphs, charts, and tables to present analysis results and aid in interpretation of results. Advising on statistical techniques for data collection and analysis and assisting in
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, articles, and other documentation of study results and implications. Generating graphs, charts, and tables to present analysis results and aid in interpretation of results. Advising on statistical techniques