185 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "UNIV" "UNIV" positions at Nature Careers in Germany
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information about the Institute see www.leibniz-fmp.de . For questions please don’t hesitate to contact Prof. Adam Lange (alange@fmp-berlin.de ) How to apply: On the FMP homepage please go to "Job-opportunities
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Production, CP3: Assessing Crop Performance by Measurements and Phenotyping, CP4: Soil-Root-Interactions for Crop Performance, CP5: Sustainable Innovations in Cropping Systems, CP6: Fusing Information from
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Strategy Group" to better support DKFZ scientists with their grant applications, especially for transfer-oriented grants. Your Tasks Provide information, guidance and individual support for DKFZ scientists
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and IPP as institutions. To ensure compliance with data protection regulations, applications should be submitted via our online system and include a cover letter, a resume, and a list of publications
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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cooperation partner for other research institutions, university hospitals, and companies. A wide range of information services for patients, children, and young people completes our portfolio. To strengthen our
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about and presenting scientific data Interest in working in a collaborative network of friendly scientists around the world Our offer The position offers an extremely international, well-equipped, and
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, CRISPR-Cas systems, microRNAs, non-coding RNA, RNA biology of infections, and RNA chemistry. Applicants can choose a mentor who best matches their interests and background (more information under “Panel
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experimental studies using animal models and human cells Planning and conducting animal experiments Analyzing, documenting, and presenting experimental data and results Actively participating in scientific
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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves