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. 4. Assist with drafting and distributing of Domain-level communications; connect with School's Communication team for updating of Faculty appointments on Domains' page on School website. 5. Manage the
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accurate, data-driven insights that inform energy production, distribution, and sustainability initiatives. The researcher will collaborate with cross-functional teams to ensure forecasts align with business
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, scheduling high-level meetings, coordinating communications, and handling confidential correspondence. • Oversee the preparation and distribution of materials for the Deputy Deans' engagements, ensuring
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, ML, and data science, and apply them to research projects. Document development processes, models, and algorithms for future reference and reproducibility. Ensure compliance with data privacy and
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, roundtables, and focus groups, ensuring logistical needs are met. - Prepare and distribute detailed meeting agendas and related documents, ensuring timely distribution to relevant stakeholders via mailing lists
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interest in methods development Experience in one or more of the following areas: algorithms development, transcriptome analysis, RNA modifications, statistics, machine learning, long read RNA-Sequencing
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Responsibilities: Development of stochastic and analytical methods for nonlinear partial differential equations Implementation of relevant numerical experiments using deep learning algorithms Job Requirements: PhD
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University of Singapore is dedicated to the interdisciplinary study of humans and algorithms on the Internet, and its implications on the society of the future. This is an exciting opportunity to join us as a
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and giving. Collaborate with inter-divisional teams, including Advancement and other internal stakeholders to create giving content, distribute solicitation materials, update campaign portals and
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reconstruction, 3D modelling software (Autodesk Revit, Dynamo), including open-source frameworks and algorithms for structural and M&E BIM reconstruction. 3. Experience in Python programming, machine learning