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, collaborate closely with geneticists, breeders and industry partners and publish your results in high-impact journals. You supervise MSc/PhD students and contribute to new grant proposals. Your qualifications
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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population health issues. Methods used in the group’s work include quasi-experimental techniques, descriptive epidemiology, and randomized trials. The fellow will be expected to publish in high-impact peer
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are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
Ecology and Technology group is carrying out work on the impact of manganese nodule mining on deep-sea benthic communities and their functions. The Research focuses on industrial tests of the manganese
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An open minded and motivated team Offers to support the compatibility of family and career Support for your personal and professional development through Heidelberg University's internal educational program
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from the atmosphere in the ocean’s interior. The efficiency of this so‑called biological carbon pump is likely altered by climate changes that affect planktonic diversity. The climate change-induced
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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the Research Group “ Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is assigned to the research project "Randomization of Surrogates
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infarction, stroke and cancer. We aim to dissect mechanisms, which act on lymphatic vessels and immune cells and impact on development and resolution of inflammation. A key unknown during the course