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- Universität Bayreuth
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Field
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that grants German and foreign students a broad selection of learning opportunities while still maintaining a research focus. The IMPRS-gBGC offers a PhD program specializing in global biogeochemistry
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, knowledge-based societies. Specialised research agendas have been grouped into four thematic pillars at BAGSS: Education, Personal Development, and Learning from Early Childhood to Adulthood Educational and
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Kurt Schwabe Institute for Measuring and Sensor Technology e.V. (KSI) Meinsberg | Waldheim, Sachsen | Germany | 3 months ago
- Contribution to a machine-learning-driven experimentation platform - Comparison of automated and manual experiments Your profile: - Master’s degree in chemical engineering, biotechnology, chemistry, physics
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, materials, and synthetic cells with embodied intelligence – chemical and physical – to endow them with the capacity to compute, adapt, learn, or make simple decisions. We are highly international and
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ideas since its founding in 1971. With a broad spectrum of subjects, we combine exceptional performance and innovative potential. As an ambitious research university, we stand for research-based learning
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environment of the university and its seven faculties. Applicants are encouraged to learn about the University of Bayreuth’s Research Networks . Experience Bayreuth – Collaboration with Local Host We invite
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to society and politics. Successful applicants will become Grantees at the Centre and profit from the lively research environment of the university and its seven faculties. Applicants are encouraged to learn
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discovery and inference, with an emphasis on robustness, scalability, uncertainty quantification, expert knowledge integration, and multi-scale causal abstraction and representation learning. Your Job How are
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from home, and hybrid meetings but also redefine them. Requirements You enjoy working independently, want to drive new ideas forward, and are willing to acquire new skills to achieve your goals. As part
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-cell imaging, multi-omics profiling such as transcriptomics, proteomics, and metabolomics, single-cell and spatial analyses, multiplex biomarker quantification, functional studies, machine learning