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Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc trainees in
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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
XFEL facilities. Analyze experimental data and develop or adapt data-analysis workflows, including scripting in Python or comparable tools. Combine spectroscopic information with catalytic performance
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Job Description If you are building your career as a scientist in advanced manufacturing, materials innovation, or simulation/data‑driven process modelling – and you are looking for a PhD position
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develop a physics-informed digital-twinning approach to better characterize these dynamics and estimate relevant electrical and control parameters from transient voltage and current data. Your tasks will
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 28 days ago
anomalous state. We are seeking a postdoctoral scholar to conduct in-depth analysis of stratospheric data, using data from the Microwave Limb Sounder (MLS) as well as complementary datasets like the
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for a postdoctoral fellow position in the Laboratory of Systems Pharmacology ( LSP ; https://labsyspharm.org/ ), part of the Harvard Program in Therapeutic Science, at Harvard Medical School in
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designing and evaluating machine learning models for benchmark grids and, depending on data readiness and project progress, by testing them on a real campus network with high-quality consumption and
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for dedicated implementations of latent reasoning. These investigations will be grounded in hardware through co-design of neuromorphic hardware to improve accuracy, latency, data efficiency, and energy
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across Europe. The tenure-track position is embedded in an active and stimulating research environment at the University of Vienna. Located in the Department of Functional and Evolutionary Ecology ( https
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Umeå Proteomics Platform. https://www.umu.se/en/research/infrastructure/umea-proteomics-platform/ The project is led by Sandra Jämtgård, Department of Forest Ecology and Management, SLU in