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Field
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-modal sensing and AI, aligned with agronomist-defined needs. Participate in integration and field testing with Robotic Intercropping partners. For PhD#1 (MRS): Embodiment and control of the MRS
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editing. You are motivated and thrive in a dynamic environment. You are self-driven, independent and are well-structured in your work. You have a strong sense of responsibility and a good sense of social
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side, you will investigate and develop data-driven methods for optimal and nonlinear control with a particular focus on dual control and on approaches to measurement scheduling and active sensing
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hoc tasks when needed. What We Are Looking For To apply, you must be enrolled as a student at SDU. We’re looking for someone who: Can operate both in Danish and English Has a strong sense of data
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safety important. We strive to be a university where staff and students feel respected and at home, regardless of differences in background, experiences, perspectives, and identity. For more information
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values open-minded exploration and an ambitious yet collegial atmosphere with a strong sense of community. Researchers affiliated with DIAS are expected to contribute actively to DIAS activities, and
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programming skills (particularly in C/C++ and Python) Documented knowledge in industrial robotics and kinematics Ability to work independently as part of an agile team, with a strong sense of responsibility
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the Multisensory Experience Lab, we explore how interactive technologies can simulate and augment human senses through a human-centred approach. Our work focuses on developing XR solutions that enhance learning
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mechanising theory and/or practice of computer science in proof assistants. Fluency in English is required. Questions? Curious to learn more about the position and environment? Please feel free to reach out
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leads several projects on biodiversity monitoring that currently focus on remote sensing and phenomics. The new postdoctoral position will extend this work into the fields of population genetics