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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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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
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new PostDoc in Open-source AI for Social Sciences and Humanities to amend our existing team (https://humane-ai.nl/ ). The RPA is dedicated to research on an AI that is everywhere. Chatbots, translation
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quantification in forecasting and 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
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Postdoc, your primary focus will be the application and further development of open-source LES methods (e.g., OpenFOAM, SU2) to simulate a wide range of Atmospheric Boundary Layer (ABL) conditions. Your
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to several available omics datasets, both open-source and provided by collaborators, and you will develop R packages to implement the methods. By improving model assessment and interpretability, your work will
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French possession (e.g. Mali, Morocco, Tunisia) and one former British possession (e.g. Ghana, Sudan). The source base includes digitised UN Economic Commission for Africa records, as well as national
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Leadership As a Postdoc, your primary focus will be the application and further development of open-source LES methods (e.g., OpenFOAM, SU2) to simulate a wide range of Atmospheric Boundary Layer (ABL
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include: Contributing to the development of a novel cross-donor dataset on development finance (e.g. OECD, GODAD and related sources) Coding and analyzing project-level data (sectoral focus, financial
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engage in national and international networks related to open education Ensure that EUR is compliant to the Easy Access Agreement Every job is different, so in the beginning we will devote attention