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other equipment purchased. 7) Mentor undergraduate and graduate students with their projects and teach how to use new instrumentation. 8) Contribute ideas for new research projects. 9) Stay informed
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receive hands-on experience that provides an understanding of the mission, operations, and culture of the DOE. As a result, fellows will gain deep insight into the federal government's role in the creation
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medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts
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, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community
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building new collaborations between the University and relevant partners • Supporting internal analytics to help determine focus/strength areas of commercializable research • Developing a new deep technology
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capable, adaptable, and collaborative researcher with deep expertise in geochemistry, economic geology, or data science, and a strong interest in working across disciplines. The successful applicant will
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aspirations and on-site assessment of guided deep aspirates on both pediatric and adult patients, gaining advanced experience in diagnosis, teaching, and research in clinical cytopathology. Diagnostic material
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the time of the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single
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the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single-cell omics datasets
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above. Proficiency in scientific programming (Python) and deep learning frameworks. Fluent oral and written communication skills in English. Desired qualifications: Expertise in broader topics in