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that connect economic systems, energy transitions, climate impacts, and air pollution to support policy-relevant analysis. The group integrates insights from climate science, atmospheric/aerosol research, and
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. For the working group “Past and Future Earth” (PATH) within the Research Department “Earth System Analysis”, PIK is offering an Early Career Researcher position (PhD or postdoctoral level) (m/f/d) (Position number
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 8 days ago
petrology and relevant data analysis Ability to work in a team Good command of spoken and written English Additional information The position can be filled immediately, but a later starting date is possible
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requirements: Excellent master and doctoral degree in Molecular Biology or a related life science discipline Strong background in genetics and epigenetics, preferably with experience in miRNA analysis Experience
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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 10 days ago
performing preclinical fMRI or fUSI studies, including data analysis, rodent handling, surgery and behavioral experiments. Strong programming skills (e.g., Matlab, Python) are required. Additional knowledge
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Strong interest in vegetation and ecosystems dynamics, biodiversity and climate change and human-nature interactions, and in interdisciplinary collaboration Very good skills in data analysis and
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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
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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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(required) Quantitative skills in time‑series analysis, biogeochemical data processing, and uncertainty assessment (R, Matlab, Python, or similar) (Required) Field experience (desired) Excellent English