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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. Appointments will be
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sampling of the parameter space of eclipsing binary observables, most notably photometric data from NASA’s Kepler and TESS missions. In parallel, the applicant will be given an opportunity to teach
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of structure-function quantifications. We also perform CRISPRa high throughput screening and massively parallel reporter assays (MPRAs) in iPSC-CMs. A current major focus of the lab is implementation of MPRAs
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials
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, AMD uProf, or Omniperf. Debugging experience with distributed-memory parallel applications. Experience with containers (Docker, Podman, Shifter or similar) and modern software practices such as Git
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distributed-memory parallel applications. Experience with containers (Docker, Podman, Shifter or similar) and modern software practices such as Git, unit testing, CI/CD, and collaborative development
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-performance computing (HPC) systems for large-scale data processing, parallelized workflows, and computationally intensive analyses. Demonstrated experience applying phylogenetic and phylodynamic methods
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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methods and transmission electron microscopy will take place in parallel with neuropathological and structural studies. The Dementia Laboratory has active collaborations with national and international