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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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, 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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-microenvironment-models-and-their-use-to… Where to apply Website https://www.ceitec.eu/lymphoid-microenvironment-models-and-their-use-to-study-t… Requirements Additional Information Work Location(s) Number of offers
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the Baltic Sea over two climatic normals 1961–1990 and 1991–2020 using wave model SWAN forced with ERA5 wind data. The research The Baltic Sea wave climate is generally mild but exceedingly intermittent. Long