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the MIT’s most affluent prospects on the West Coast and in NYC Metropolitan regions and for building a portfolio of new principal giving prospects to cultivate unaffiliated high net worth individuals
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the Department of Electronic & Electrical Engineering (EEE) at the University of Strathclyde, https://www.strath.ac.uk/research/subjects/electronicelectricalengineering/instituteforenergyenvironment is seeking
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bound to the structure of the interaction network and multi-layer networks, might then inform local and global environmental governance. COOLNET’s team will comprise up to 5 members and work within the
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geometry, number theory, and several complex variables. The environment offers regular seminars, collaborative opportunities, and connections to a wide global network. Who we are looking for We are looking
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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interpret complex data. This can be demonstrated by submitted certifications, academic papers or transcripts. Proficiency in written and spoken English. The candidate(s) should submit a research plan for the
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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of complex dairy farm systems using Python. This role focuses on translating real-time farm data—including new energy monitoring feeds—into farm-specific 'what-if' scenarios. The goal is to provide farmers and
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specifically with the responsibilities and collaborative nature of the Member Solutions Engineer & Insights Analyst position at Merit Network, Inc. Click the "Apply Now" button to begin the application process
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of a formal alumni network that connects past Carroll Fellows with one another and with current students. The role involves developing organizational frameworks, refining and verifying alumni data