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to the Institute’s needs. Requirements for candidates: Proven experience in advanced hydrological modeling (e.g., conceptual or physically based spatially distributed models), particularly with SWAT+, SWAT-MODFLOW and
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, rivalling temperature in importance. It shapes marine food webs from the bottom up by controlling primary production and the energetic base, and from the top down by affecting the efficiency of visual
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lung tumors. We utilize a multifaceted approach that encompasses preclinical studies in immunocompetent syngeneic and genetically engineered co-mutational models of KRAS-mutant NSCLC as well as PDX/CDXs
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supply systems Experience working with and analysing large climate and hydrological datasets Understanding of systems-based approaches to planning, including use of decision-support systems i.e. modelling
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closely connected with applied research and industry collaboration. FTMC provides a strong scientific base, international research networks, and the flexibility for doctoral students to develop independent
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Research Engineer 2 Requisition ID req34766 Working Title Research Engineer 2 Position Grade 14 Position Summary Due to federal export control regulations, this position is limited to U.S. citizens
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, Monday - Friday, 8:00 am - 5:00 pm Work Type: Onsite Salary Range: Targeted salary: $72,500 annually, based on experience Benefits Provided: Yes Required Attachments: Resume, Cover Letter Job Description
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Assistant Director, Treasury Planning (Hybrid) - Financial Services - Treasury Planning & Operations
analysis, modeling, issuance, compliance, credit strategy, and management of the Internal Bank. Treasury maintains a collaborative and productive relationship with the WashU Investment Management Company
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division focusing on data-driven control methodologies. About the research project Model-based control is arguably the prime framework to perform certifiably-safe regulation of dynamical systems. However
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, scikit-learn, numpy) Experience with large language model APIs (OpenAI GPT-4, Claude, or similar) Demonstrated ability to design and implement NLP pipelines Understanding of evaluation metrics (precision