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PhD Position – High-Temperature Electrolysis – from stack design to operational optimizationFull PhD
cells with improved energy and power density, longer lifetime, and maximal safety. Find out more about our mission and future-oriented projects here: https://www.fz-juelich.de/en/iet/iet-1 We
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of Dr. Andrew Lane (https://lanelab.dana-farber.org/), within the Hematologic Neoplasia Division of the Department of Medical Oncology at Dana-Farber Cancer Institute. Located in Boston and the
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reporting Data Collection, Management, and Analysis Collect, clean, validate, and organize data from multiple institutional sources to ensure accuracy and reliability Conduct quantitative and qualitative
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network exploring the role of households in the green energy transition. It addresses challenges such as volatile energy prices, inequality, and household risk exposure. ENERPOL provides doctoral candidates
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network exploring the role of households in the green energy transition. It addresses challenges such as volatile energy prices, inequality, and household risk exposure. ENERPOL provides doctoral candidates
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31948BR Civil/Environ/Arch Engineering Position Overview Two postdoctoral researchers are sought in the research area of water and wastewater infrastructure risk and resilience in the Civil
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Cancer Institute seeks a Research Fellow to focus on next-generation, translational pathology studies who will work within the Wolpin-Nowak laboratory (https://labs.dana-farber.org/wolpin-nowaklab/) as
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scientists—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative datasets to support policy
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at Forschungszentrum Jülich, in close collaboration with bioimage analysis partners at Karlsruhe Institute of Technology. Your tasks in detail: Develop and extend deep-learning–based segmentation, classification and
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chromatography simulation framework Simulation and analysis of batch and gradient elution processes using predictive isotherms Curation and analysis of experimental chromatography data for model training and