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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 15 days ago
breeding populations to investigate the genetic basis of traits such as visual anther extrusion, heading date, plant height, and grain yield. You process genotypic data, ensure its alignment with phenotypic
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visualizations) can contribute to increasing liveability in BE and environmental, economic and social benefits. The implementation of this WP includes collecting requirements from the stakeholders on what
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visualization. Development of an interactive and participative digital platform that encourages users to contribute through crowdsourcing, oral interviews, or sharing privately held materials. Implementation
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from visual and auditory cortices recorded over multiple days Apply and adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural
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sites, collecting and identifying specimens, and analysing 3D flight trajectories in relation to local environmental cues such as light intensity, wind conditions, and visual structure. A key focus will
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relation to local environmental cues such as light intensity, wind conditions, and visual structure. A key focus will be on how Dipteran insects perceive and use these cues—especially visual landmarks and
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skills, and the ability to work effectively with a wide range of individuals. Job Summary Conducts research assessments and procedures independently. Oversees operations when leadership is unavailable
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leveraging visual perception of human actions, object properties, and scene context. It integrates machine learning tools, knowledge representation, and robot actions design to develop decision-making
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NeuroAI of Developmental vision (m/f/x) to work on: The Curriculum of Sight - How Visual Processing Develops in Brains and Machines. For animals, it is imperative to learn as quickly as possible. To do
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teamwork skills Good knowledge of English Research experience (e.g. involvement in international scientific projects) Knowledge in the fields of high-performance computing and scientific visualization is