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, interaction design Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills We regret to inform that only
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on applying and interpreting genetic interaction models in relation to human biology, molecular function, and clinical phenotypes. As a PhD student in AI:GENOMIX, your research will revolve around understanding
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 9 hours ago
. Description of duties: All normal duties related to the design and teaching of a University credit course, including preparation and delivery of course content; out-of-class interactions with students via e
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to elicit a range of emotions in young children (together with PhD candidate 2) Design and conduct experimental studies inside the lab and in naturalistic settings, using multimodal methods to measure
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 6 days ago
this context, the PhD aims to develop integrated approaches to maritime spatial planning that can reconcile these sometimes-conflicting objectives. It will focus on designing decision-support tools capable
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, and 2) the ad hoc experiments designed during the GEOSIC project (including a series of simulations to calibrate the controller parameters). The availability of GeoMIP simulations allows the PhD student
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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Not Applicable Job Status Full-time Hours Per Week 37.5
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sciences compensation plan which provides for eligibility for additional compensation. Apply online at https://aprecruit.ucsf.edu/JPF05877 . The University of California is an Equal Opportunity Employer
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transfer, fluid–solid interactions, and pressure drop in complex thermal structures. Design and train physics-guided surrogate models (e.g. neural networks with embedded physical constraints) for rapid