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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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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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administrative sources, including unique social network on the Dutch population data from Statistics Netherlands. Such data presents distinctive methodological challenges: their scale and temporal character
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, and allow the use of alternative protein sources based on first principles. You will take the lead in connecting with our project partners, manage BSc and MSc thesis students participating in
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industrial partners. Our group offers an open and collaborative environment in which we focus on hands-on learning and personal growth of all group members. We are looking for excited and talented candidates