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), regulatory science, pharmacometrics, and real-world evidence (RWE). The successful candidate will develop AI-driven systems to support regulatory document intelligence, automated pharmacokinetic modeling, and
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UPOs PhD enrolment: Université Paris Cité DC15: Hybrid machine learning models for data-driven bioprocess optimisation PhD enrolment: University of Padua Eligibility Requirements: Doctoral Candidates
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Managing and leading change towards future education Technology-driven education innovation Cooperative and work-intergrated education The Department of Educational Studies (EDS), where this position is
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to new or emerging opportunities. Evaluate cost structures related to faculty workloads, staffing models, classroom utilization, instructional technology, and program delivery to provide insights around
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learning for mathematics (e.g., model architectures for theorem proving, data-driven exploration of mathematical structures) Or experience in related areas and a passion for mathematical discovery We welcome
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hydrologic and hydraulic models (e.g., WRF-Hydro, HEC-RAS, OpenFOAM, GSSHA, Delft3D, EFDC, etc.). Data Engineering & Computational Workflows – 35% Curate, preprocess, and analyze large environmental datasets
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rates, • Work in a friendly, collaborative and productive environment, • Mentor and teach highly motivated students, • Be part of a mission-driven institution, • Live affordably in a central location with
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interactions in health and disease Microbiome-driven mechanisms in inflammatory, metabolic, oncological, and infectious diseases Development of innovative experimental model systems for mechanistic and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
. This involves theory but also the integration of observational information into models through data assimilation and model inversion. In this domain as in many fields of applied science, researchers face high
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, transport processes, numerical modeling, and network theory. Familiarity with plant hydraulics (xylem/phloem transport), osmotically driven flow, and biomechanical modeling. Demonstrated experience in