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The postholder will lead a programme investigating sensorimnemonic decisions: how people decide between using information held in memory vs using the external environment, during extended
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methods that connect sensing, artificial intelligence, and decision-making for agricultural, food, biological, energy, environmental, and materials systems. The lab's core methodological focus includes
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programmes, helping breeders make more informed and representative decisions, accelerate crop improvement, and strengthen food security and climate resilience across the Global South. The successful candidate
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for establishing correctness with respect to formal specifications Engineering efficient implementations that make high-level abstractions practical We seek outstanding candidates working in programming languages
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themes or open a new line of inquiry; the common thread is rigorous social science on how people, firms, and governments make decisions about the ocean, and what policies or institutions could improve
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awarded at the latest by the point at which LiU makes its decision to employ you. It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job
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explainable AI strategies to improve prediction, interpretability, and breeding decision-making. Join TEAM-AI to translate cutting-edge analytics into practical solutions for global food security. TEAM-AI aims
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platform. • Collect and manage data via a server. • Develop robust backend tools for structuring and interconnecting data, • Integrate artificial intelligence models for analysis, interpretation
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, and individual-level decision making, coordinating tasks, schedules, deliverables, and communication across multidisciplinary teams Design and implement laboratory, field, and community-based studies
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to have a more balanced staff profile. During all phases of the selection process, we will therefore prioritize selecting women who fit the profile. Your challenge Changing environmental conditions such as