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Imagine a world where food production is in harmony with natural processes, farmers nurture healthy soils, and biodiversity thrives. In contrast, current monoculture farming systems undermine this future. Can you see how Robotics and Digital Twins can open opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture more sustainable? If you share our passion for technology and the difference it can make in meeting the UN’s Sustainable Development Goals, perhaps you are one of our three new PhD students.

At the Maersk Mc-Kinney Moller Institute (MMMI), University of Southern Denmark in Odense, you will be part of the Robotic Intercropping (https://roboticintercropping.eu) team working to break new ground at the absolute forefront of what is possible in safe operation of autonomous agricultural vehicles. These are needed to enable better land use and management. This project promotes sustainable economic growth and higher levels

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Job Description

The Charles V. Schaefer, Jr. School of Engineering and Science (SES) at Stevens Institute of Technology (Stevens) invites applications for an Adjunct position for the Spring semester of 2026.

The Adjunct Instructor will be hired to teach ENGR 122 Field Sustainable Systems with Sensors. Each section of this EVENING course meets once a week for the full Spring semester for a total of ~3 hours per week. This course is an introductory course for Engineering majors at Stevens and builds to the Gallois Autonomous Robot Competition hosted during the Stevens Innovation Expo. 

As one of the first courses in the Stevens Design Spine, ENGR 122 is fundamental to the Charles V. Schaefer, Jr. School of Engineering and Science’s commitment to instilling a sense of engineering mastery, interdisciplinarity, project management, teamwork, and specific engineering skills required of the modern engineer in its

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From 26/10/2025 to 26/10/2025, a Tropical Storm (maximum wind speed of 93 km/h) THREE-25 was active in NorthIndian. The cyclone affects these countries: India (vulnerability High). Estimated population affected by category 1 (120 km/h) wind speeds or higher is 0 (10.085 million in tropical storm).

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