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with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC) environments. Understanding of data privacy, security, and ethical considerations in handling clinical
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detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS
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technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems. -The candidate will work on the synthesis
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applicant will also bring significant experience with general software engineering, with working experience with Cloud Platforms (Google Cloud Platform, AWS, Azure), alongside a strong understanding of recent
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Qualifications: Experience with multi-scale modeling, systems pharmacology, or pharmacokinetics/pharmacodynamics (PK/PD) modeling. Prior research in EMR data mining and imaging processing Familiarity with cloud
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
of “clouds”. Popular discussions revolve around the topics of data protection, algorithmic regulation, and asymmetric ‘technological dependencies’ that raise concerns around monopolies and “digital sovereignty
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of the agricultural sector through a multi-actor approach, Nostradamus will develop multiple open-source digital applications, which will utilize both edge and cloud solutions, as well as hybrid combinations
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 19 days ago
properties of clouds and hazes; the search for atmospheres on rocky planets; the internal structure and bulk composition of gas giants; planet detection and orbital dynamics; and the characterization
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-grenoble.hub.inrae.fr ) in partnership with the Biométrie et Biologie Evolutive laboratory and the Institut Français de Bioinformatique (NNCR cloud). The Virome@tlas project is recruiting a postdoctoral fellow to work
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full-time position, annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc. work in active an inspiring