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syntheses, policy and budget analyses of school food procurement, qualitative research with producers/processors and school food personnel, and network mapping and value chain analysis to bridge gaps from
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Design Practice Research with distinguished practitioner PhD cohorts geographically clustered around activities in Melbourne, Barcelona and Ho Chi Minh City. For more information see https
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. The PhD will focus on two complementary approaches: 1) Enhancing CDI with machine learning: improve this technique using convolutional neural networks (CNNs) trained on simulated data, enabling faster and
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, personnel scheduling, home healthcare Where to apply Website https://imtatlantique.fillout.com/mscapf2026echho Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications
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numerical modeling and simulation software (e.g., COMSOL, ANSYS, MATLAB). Preferred Qualifications PhD degree in Mechanical/Material Science /Chemical Engineering or related field. Knowledge, Skills and
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Lexington, KY Type of Position Faculty Position Time Status Full-Time Tenure Track Status Tenure Track Required Education Terminal academic doctoral degree (i.e., PhD or similar terminal degree) in relevant
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for regional partners. The position includes supporting pre and post mission workshops, strengthening stakeholder engagement, and contributing to the development of regional scientific networks. The Associate
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backgrounds. A record of demonstrable scholarly and professional outcomes in a relevant discipline area. Ability to build effective networks with colleagues and generate alternative funding projects through
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The UAF SOE Alaska Indigenous Teacher Network (AITN) Faculty position collaborates with multiple UAF partners across the Fairbanks Troth Yeddha’ and rural campuses, external education organizations
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
to the formation of a solid polymer network. Building on previous work carried out in the laboratory, this PhD project aims to evaluate the influence of metal cations (lead, copper) on drying kinetics, the formation