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Description The International Research Training Group (IGK 2495) “Energy Conversion Systems: From Materials to Devices” at the Friedrich-Alexander-Universität Erlangen-Nürnberg offers 11 doctoral researcher positions for projects related to photo-electro-mechanical energy harvesting systems,...
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Setup a knowledge graph in neo4J for microbiome research Integration
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technologies, including metadata schemas, ontologies, or knowledge graphs Excellent command of written and spoken English Strong communication and teamwork skills, and the ability to work effectively in
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processes that produce energy and raw materials. The Department of Reactive Transport is looking for a PhD Student (f/m/d) Tomography of desorption reactions: positron emission tomography for quantifying
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
Your Job: The Electrocatalysis research department (https://www.hi-ern.de/hi-ern/Electrocatalysis) is looking for three PhD students, which research area is to investigate fundamental relationships
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. We are seeking a motivated PhD student to contribute to our investigations of how transcriptional condensates form and regulate gene expression. In this project, you will focus on the role of eRNAs in
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teamwork skills, and the ability to work effectively in an interdisciplinary and collaborative research environment Our Offer: We work on the very latest issues that impact our society and are offering you
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Description In the Leibniz Institute of Plant Biochemistry, the research group Symbiosis Signalling invites applications for a PhD position in biology (m/f/d) (Salary group E13 TV-L, part-time 65
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Description We are looking for people interested in joining the Software Lab as a PhD student. The Software Lab conducts research at the intersection of software engineering, programming
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-driven process control. A central objective is the development and optimization of robust, low-maintenance, and cost-effective sensor systems capable of continuously monitoring COD and other key parameters