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Driven Discovery. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm implementation, programming, and quality check. Assist senior analysts
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theory and many-body techniques, transport and response theory, atomistic and molecular spin dynamics, high-throughput and high-performance computing. Additional areas of interest include, but are not
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Master's theses participation in national and international research projects The position comes with access to high performance computing resources and access to training opportunities within ScaDS.AI
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in physics, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the abovementioned fields. What we offer State of the art on-site high performance/GPU compute
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genome data, high-performance computing, and environmental surveillance systems. Competitive salary and support for team building, including initial positions for 2 postdocs and 1 PhD student. A
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one or more of the following areas: Large Language Models, Generative Models (AIGC), Natural Language Processing, Computer Vision, or High-Performance Computing. Solid programming skills in Python and
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infrastructure and support services. This includes providing strategic and operational guidance and leadership on high performance computing, research data storage, cloud-based technology platforms, and scientific
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: The doctoral candidate will perform computational analysis of a combination of multi-omics data from the gut microbiomes of patients with Alzheimer's disease or Parkinson's disease. The candidate will use state
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, including two-photon and light sheet microscopy, spatial transcriptomics, cryo-EM, and high-performance computing Human neuroscience infrastructure, including academic neurosurgeons providing access to human
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to St. Jude's high-performance computing clusters and cloud computing environments.Cutting-edge sequencing platforms, such as long-read sequencing technologies, single-cell DNA/RNA sequencing, and spatial