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an optimum learning environment, responding to student needs, managing effective instructional activities, assisting in the developing of courses, modeling employability skills, demonstrating professionalism
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environment, responding to student needs, managing effective instructional activities, modeling employability skills, demonstrating professionalism, developing cooperative work relationships with other faculty
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environment, responding to student needs, managing effective instructional activities, modeling employability skills, demonstrating professionalism, developing cooperative work relationships with other faculty
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more faithfully simulate the application of high energy density laser sources to multi-component metallic substrates. Such a high-fidelity modelling framework, that captures the volumetric dilation
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information: https://tablon.upct.es/anuncio/ P6OGg 7 2Ok1 Deadline for submission of applications: 28 January. TITLE OF THE POSITION OFFERED: MOBILITY FLOW MEASUREMENT SYSTEM USING ARTIFICIAL INTELLIGENCE
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mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity.html ), we
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be funded within the project titled ”A Probabilistic Inverse Model for Identifying the Source of Atmospheric Contamination on a Continental Scale” funding under the prestigious SONATA 20 competition
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, furnace) - Nitrogen static mass spectrometry - Geochemical box modelling - Writing scientific papers A world-renowned geosciences organisation, the IPGP is associated with the CNRS and an integrated
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equation modeling, multilevel modeling, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred Qualifications: Experience with analyzing
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functions to be developed are: Conducting in vitro and in vivo experiments with pancreatic cancer models within the parameters of the funded project. Collaboration in experimental design, as well as in data