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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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to yield formation. Your tasks: Work in a research team to better comprehend wheat and barley grain number determination specifically in the context of source-sink interactions using contrasting germplasm
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Institute, are one of the leading economic research institutes in Europe. We work on issues relevant to economics and economic policy at the highest scientific level and with an international reach, and
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
the position. Our offer Postdocs at the Max Planck Institute for the Study of Crime, Security and Law are given ample time to develop their own research projects, to publish their own work and to
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
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the interplay of neurodegenerative diseases and aging, improve the early detection of affected individuals, and identify novel drug targets. Part of the work will be conducted within the international
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High motivation to take on responsibility and develop own research idea Willingness for regular business trips Our Offer: We work on the very latest issues that impact our society and are offering you
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stimulating, high-profile research project A fully funded multi-year postdoc position (remuneration according to TV-L salary scale 13) Training in wet-lab & computational work; intensive mentoring within
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adaptation, including in-domain pre-training, domain adapters, task-specific instruction tuning, and retrieval-augmented generation (RAG) Collaboration with interdisciplinary teams to enhance model performance