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signatures of seasonal processes on Mars and transient liquid water activity relevant for icy airless worlds. The successful candidate will lead design, integration and testing of cryo-vacuum regulation and
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-termWorking TypeHybridAvailable for SecondmentNoClosing Date29-May-2025 The Hatter Cardiovascular Institute (HCI) is part of the UCL’s Institute of Cardiovascular Science (ICS). The HCI is internationally
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Researcher (R2) Positions PhD Positions Country Spain Application Deadline 25 Feb 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 1 month ago
. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology
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to efficiently encode and transmit biosensing data based on OECT voltage variations. o Integration strategy for future IC implementation, ensuring feasibility and scalability. o Collaboration with
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to several projects to improve radiation tolerance and reduce temporal noise of CMOS image sensors. Together with the supervisor (prof. Meynants), you will guide PhD researchers in image sensor design and
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: Apply Position Description The Ryan Lab seeks a highly motivated postdoctoral researcher to work on federally-funded projects related to ice sheet surface processes. There is some flexibility in
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Postdoc – Scientific lead of a joint research project in the field of Direct Air Capture and Storage
carried out using the institute’s FINE model framework https://github.com/FZJ-IEK3-VSA/FINE, in which detailed optimization models for potential analyses and the design of DACS plants are created. In
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Description As part of ChronIce - Chronicling Greenland Ice Sheet evolution through past warm climates, funded by Independent Research Fund Denmark, the researcher’s primary role is to construct paleo-records
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model, NEMO has been designed to run in double precision, i.e. using 64-bit floating-point numbers. Using lower precision can be beneficial in terms of performance by reducing memory usage, execution time