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Vacancies Postdoc position in open-source respiratory signal analysis (M3RESP) Key takeaways You will work on the development of M3Resp, a new open-source FAIR platform for multimodal monitoring
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Resources, Geography, or related fields. Experience in processing and analyzing LiDAR data using open-source scientific programming languages (R or Python). Desirable requirements: International publications
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sampling, specifically regarding the neural mechanisms. The project will also involve the development of an open framework for collaboration including the development of open source toolboxes and open access
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-reviewed publications in leading machine learning and interdisciplinary venues, open-source software tools, and collaborative research initiatives. The successful candidate will also contribute
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of the OpenAirInterface open source software stack. Practice in other open source mobile network software frameworks such as srsRAN or O-RAN Front Haul Interface is valuable Good skills in development in Linux and with
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organize simulation protocol, organize model input-output and evaluation data of the improved LPJmL Dynamic Global Vegetation Model with the goal to analyse simulated fire effects on tundra vegetation and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
The postdoctoral researcher will focus on the design, fabrication oversight, and characterization of high-performance integrated quantum sources. The research plan includes: Resonant and Non-Resonant Design
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national and international statistical sources. This database will subsequently be analyzed for international publications and, in the case of Brazil, used to make comparisons between states, as
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, the Research Foundation will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status
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integrate your models into the open-source OpenSTEF platform and the Linux Foundation Energy ecosystem. You will work closely with SME partners in short-cycle innovation trajectories of 6 to 18 months