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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 1 day 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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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Digital Twin is an
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, humanities and social sciences; Business and economics; Education; Engineering; Environment; Health; Information technology and computer science; Law; Music, visual and performing arts; Science Need help
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infrastructure data, and building visual tools to support the interpretation and communication of results. The work has a strong foundation in systems and network research, with an emphasis on DNS protocol
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11.11.2024, Wissenschaftliches Personal In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the
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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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PhD position in Human-Centered AI for Accessibility Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 28
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biology, chemistry, psychology and social science, facilitating knowledge discovery. The intuitively uninterpretable high-dimensional data and network data become visually scrutable upon being mapped into 2
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will be able to transcribe and translate interviews and photovoice sessions. Assist and launch the project website. Analyze qualitative data in thematic analysis. Assist writing articles. Artistic visual
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student will work closely with experts at national spectroscopy and imaging facilities to deliver scientific software applicable to experimental imaging data. Project Aims The aim of this project is to