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) Names and contact information of 3 references (PhD supervisor or collaborators are allowed) Appreciate your understandings in advance that only selected qualified applicants will receive responses
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dashboards, analytical tools, and data-driven analyses based on Penn faculty research (see https://infodem.upenn.edu/research-compendium/). The Research Director will start by selecting impactful research and
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relationships across stakeholder groups. Ability to analyze data, assess program effectiveness, and make evidence-informed decisions. Desired Qualifications Doctoral degree (EdD, PhD, or equivalent) in a relevant
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assessment, smart sensor integration and data analytics, water quality dynamics in transport systems, integration of green infrastructure, and sustainable urban drainage systems Dissemination – Publish in high
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Essential requirements: • PhD degree in civil engineering, timber engineering, wood/timber science, sustainability/industrial ecology or closely related fields • Demonstrated ability
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for analytical RF engineers to join the Strategic Systems Operation Division within the Information Advantage Office at the Applied Research Laboratory (ARL) at Penn State. This role will collaborate with
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for analytical RF engineers to join the Strategic Systems Operation Division within the Information Advantage Office at the Applied Research Laboratory (ARL) at Penn State. This role will collaborate with
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UniGEM). Within UniGEM, this internship aims to engineer the features input into the neural network and to compute their values using real malaria parasite data. These values will be used in a subsequent
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
logistics. The PhD research will focus on AI-enhanced planning of operations in shipbuilding supply chains, examining how AI techniques can support decision-makers in analyzing real-time and historical data
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ticketing system, the candidate is expected to provide advanced support in computational science and engineering, big data analysis, machine learning, or any related field. Senior candidate should initiate