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expected impact on pest occurrence upon changing agricultural field setups and practices. We seek an individual who has achieved international recognition and has a strong expertise in different insect pests
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discourses. The focus is on the practices through which such self-problematizations are produced, negotiated, and stabilized. To this end, the project employs a multi-method research design. Your tasks
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methods such as Minkowski functionals, Voronoi-based density analyses, and modern cluster and pattern recognition techniques. Your goal is to precisely capture the structural characteristics of crowds and
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environment. We are creative, we shape technology, we design products, we improve processes, we open up new paths. Our clients value our modelling competence, algorithms and software products. We
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design and skills seminars. During the following years, an increasing amount of time is allocated to independent work on the thesis. Researchers regularly present their research findings at colloquia
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resides in is to build up technology for data-driven pattern recognition to infer data-driven generalized auditory profiles. The central challenge for this endeavor are the small sample sizes (of typically
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discipline Desirable: • very good programming skills • intensive up-to-date knowledge and experiences in computer vision or pattern recognition or applied mathematics • interests in cooperation with veterinary
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Faculty of Scienc at the University of Potsdam | Potsdam, Brandenburg | Germany | about 2 months ago
, sensor fusion, and AI-supported prognosis) The Scope of Your Responsibilities: Technological analysis, selection, and design of the sound and mold sensor Investigation and experimental evaluation
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to female-biased disease along developmental trajectories. Your tasks and responsibilities Design and execute imaging-based high-throughput screening experiments Develop, optimize cellular assays and CRISPR
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on the following tasks with either with a stronger model-development or application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable