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Field
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disease insights. The lab has state-of-the-art computing capabilities with an in-house cluster serving 80 CPU cores and 1.5TB of RAM, as well as a newly acquired NVIDIA DGX box with eight H100 GPUs and 224
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the strengths of modern biotechnology and computational tools to address essential questions in life sciences including plant biology and crop sciences. Required Qualifications PhD degree in genetics, genomics
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Fellow with a PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative field to join an interdisciplinary research program focused on Alzheimer’s disease (AD
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execution of research projects that find the application of main group molecular compounds and clusters as sustainable catalysts. There are two posts available one fixed term for 24 months and another fixed
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environments; and (iv) Agentic AI systems for autonomous discovery, planning, and decision-making. The position provides access to world-class computing resources, such as the BNL Institutional Cluster and DOE
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Disorders. About the role: We are seeking a skilled and motivated research assistant with expertise in human stem cell culture to join our Functional Genomics of Human Developing Brain cluster. This project
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emphasize multi-wavelength survey science, the galaxy-halo connection, cluster cosmology, and large-scale cosmological simulations. Analysis efforts cover topics such as CMB power spectra, CMB lensing, galaxy
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/abstracts and presentations 5% -Attend lab meetings and weekly 1-1 meetings with advisor(s) 5% -Contribute to essential lab chores and maintain lab safety Qualifications Required Qualifications: PhD degree in
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lectures, and opportunities for collaboration with faculty across disciplines and departments. Under the direction of Cheryl Dennison Himmelfarb, PhD, RN, and Center faculty, the postdoctoral fellow will
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methodological theme involves understanding the geometric and topological structure of knowledge: how concepts cluster, how new ideas deform or extend existing structures, and how the shape of a knowledge