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Field
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outputs, presentations and engagement with academic, industry and professional networks provide mentoring and guidance to junior researchers and students where appropriate undertake other duties appropriate
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Organization U.S. Department of Defense (DOD) Reference Code AFIT-2026-0022 How to Apply Click on Apply at the bottom of the opportunity to start your application. Application Deadline 5/21/2027 3
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About Us A 3-year PhD-fellowship is available at the School of Biomedical Engineering & Imaging Sciences at King's College London. This position is part of the Cardiovascular Digital Twin network
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funding award or scholarship administered by King’s College London’ and under ‘Award Scheme Code or Name’ enter MSCA Doctoral Networks. Research Proposal: Please enter supervisor name Professor Seeromanie
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 8 days ago
, including advanced statistics, spatial dispersion and concentration methods, Python and/or R programming, and/or Network Analyst (considered an asset); Experience in dashboard development and publication
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 8 days ago
use of resources in a highly interdisciplinary and distributed framework; Model scientific and community knowledge regarding stakeholder networks and socio-ecological systems; Develop integrated
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, please describe specifically how you have used agentic or developer-grade AI tools (e.g. Claude Code, Codex, Cursor, or equivalent) to conduct, accelerate, or scale your research. Entry-level use
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PWA-2026-0379 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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: Software Engineering, Sensor Networks and Engineering Computing and the HVL Software Engineering Group (https://www.hvl.no/forsking/gruppe/programvareutvikling-software-engineering/). The research programme
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research funding applications established collaborative networks across academic, industry or professional sectors demonstrated experience mentoring and supervising research staff or students excellent