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cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic understanding of tissue growth and inform in vitro experiments? Then you might be our next PhD
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to apply best practices consistently across environments. High proficiency in the Microsoft Power Platform, including Model‑Driven and Canvas Apps, Power Automate, Power Pages (Liquid templates
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10 Apr 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Computer systems Computer science » Database management Researcher
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and/or gravity as a continuum in the rodent, employing established or emerging ground-based models for simulated weightlessness via hindlimb unloading or hypergravity generated using chronic
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presence in Washington, D.C. Connections working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/22172979/research-software-engineer-x28-data-science-and-ai-institute
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 9 hours ago
. program structured for working professionals, and the nation’s only bachelor’s degree program focused on coastal engineering. The university’s efforts to advance research and scholarly activities have
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA CIVILE, CHIMICA, AMBIENTALE E DEI MATERIALI | Italy | about 2 months ago
science, this approach will deliver tools for data-driven, sustainable composite design and inform industry decision-making on a global scale. Parametric modelling with 3D CAD tools and programming
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programming, physical modeling, machine learning, signal processing, and control engineering. Experience in implementing and integrating different methods in complex systems is considered meritorious. You
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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observations and employing theoretical models to: (a) improve the understanding of the wind-driven ocean surface wave spectrum that drives the relationship between the ocean wind and the radar backscatter; (b