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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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mitigation strategies, such as selective yaw control and power down-regulation of wind turbines. Use experimental, field, and numerical data to validate, improve, and develop fast analytical wake models
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; developing, interpreting, and applying the two statistical models; and submitting peer-reviewed publications and presenting findings at scientific conferences and stakeholder workshops. Unit URL https
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geomatics, spatial modelling and simulation, and model exploration and evaluation (OpenMole platform https://openmole.org/ ). The recruited individual will also work directly with the project's entomologists
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fisheries modelling, data analysis, and stock assessment to generate robust evidence that informs management decisions. Working within the IMAS Fisheries and Aquaculture Modelling Program, the position
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, and Cancer Biology (lawsonlab.umassmed.edu). The Lawson Lab utilizes the zebrafish as a model system to study the development of the circulatory and lymphatic systems. Current projects focus on two
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-campus initiatives that enhance data systems, reporting tools, and analytic capacity Remain current with emerging technologies and practices in data modeling, business intelligence, and analytics Train and
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Responsibilities: 1) Model Development: Construct mechanistic coupled xylem–phloem models using first-principles representations of axial and radial transport including a Hagen–Poiseuille flow, Sampson flow
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Description We are recruiting a contract researcher to join a project involving the development of predictive models for simulating material forming processes, within the mechanical engineering department
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on mathematical modeling of response strategies to the current urgent problem in Africa of responding to the recent (2020-2021) emergence of artemisinin resistance on the continent. These mathematical models