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and students. You will also have opportunities to mentor students and contribute to proposal development, supporting the growth of a strong and externally funded research program. Candidates should have
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
publishing and presenting scientific work Experience with programming and software development platforms (GitHub) We expect: Independent and initiative-driven work style. Structured and goal-oriented thinking
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/Buchnera endosymbiosis. Aphids house Buchnera in specialized bacteriocytes and must coordinate bacterial population growth with their own development and reproduction across generations. We are asking
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are often software-intensive and we develop mechanisms to create better software for safer, more secure, and more usable systems. You will be supervised by Associate Prof. Rebekka Wohlrab, whose research
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to apply for a faculty or staff position, please review this tip sheet . The University of Miami, School of Education and Human Development, has an exciting opportunity for a full time Post Doctoral
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technology development project in which UCC collaborates with two companies, Danalto and Qorvo. The UCC part of the project focuses on the development of agentic AI and digital twin concepts for Ultra-Wideband
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are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we
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College Cork (UCC) is looking for two highly motivated Post-Doctoral Researchers. The researchers will be employed on a technology development project in which UCC collaborates with two companies, Danalto
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collaboration with researchers from Argonne National Lab and Oak Ridge National Lab on a collaborative Department of Energy funded project “AlphaFold for Microelectronics”. The role will be to develop data
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data