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about our group and our research can be found at https://lupo-lab.com/ LUPO is part of the Institute of Photonics and Quantum Science (IPaQS), which is one of the UK's largest research clusters in
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, and image analysis tools and working on a computing cluster (HPC). Vivid Interest in interdisciplinary research, leading and working on projects with pathologists, medical experts, computer scientists
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learning to derive principled models of cortical computation. Our newly refurbished primate facility, state‑of‑the‑art Neuropixels rigs, and high‑performance computing cluster offer an unmatched playground
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the most suitable data science techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data. Running simulation studies and other pre-intervention
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thermography cameras, drones, and EEG as well as advanced computing and visualization systems such as CAVE (an immersive visualization facility),VR, and AR and computing clusters for data intensive research
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, or Perl) and experience with Linux or high performance clusters Strong analytical reasoning and familiarity with publicly available resources Environment At the Cruchaga Lab, you will work in a
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working with genomics data sets. Prior experience working on high performance computing clusters. Prior experience with statistical and mathematical modeling and/or AI. Type Benefited Staff Special
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the team. The successful candidate will have access to the Apache Point Observatory 3.5m telescope and OU’s supercomputer, Schooner. The team also has a 256 core cluster for work within the group. There is
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them in this position: distributed and cluster computing, with a specific focus on PySpark, working with large tabular data with python/R, basic principles of natural language processing and their
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is part of the Maersk Mc-Kinney Moller Institute , University of Southern Denmark (SDU), and located at the main Campus in Odense, at the core of the Odense Robotics Cluster involving 120+ startups