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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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on analysis. Develop budgets for projects and studies. Develop and implement process for billing and invoicing for clinical trials. Ensure compliance with University policies and procedures. • 35
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processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell
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http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) Applications received after the deadline will not be considered. All interested
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
. The department’s operating budget is 27 million a year. Position Summary The Postdoctoral Research Associate will be involved in manuscript preparation and curation of software in support of grant aims. They will
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PhD position in Human-Computer Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication
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students and contributing to an inclusive, collegial research environment. Application Materials Application Process: Apply online at https://hr.missouri.edu/job-openings , Job ID# 58263. Applicants should
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20 Feb 2026 Job Information Organisation/Company FBN Dummerstorf Research Field Agricultural sciences » Zootechnics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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to apply Website https://www.academictransfer.com/en/jobs/359150/phd-position-digital-ai-chip-de… Requirements Additional Information Website for additional job details https://www.academictransfer.com
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processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell