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Field
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biogeochemistry, environmental sciences or a related field is required. Good methodological (theory) knowledge of analytical approaches for measurements of climate-relevant trace gases is required. Knowledge
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queries and working with high data inflow systems Familiarity with TimescaleDB or other high-performance database technologies Strong analytical and problem-solving skills with a focus on performance
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foundations of ML · Explainability, trustworthiness, and robustness of ML · Deep learning architectures and Generative AI · Big data and cloud-based systems · Human-centered data analytics and data
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Engineering or a comparable subject Good programming skills e.g. in Python or Fortran are advantageous Initial experience in FEM (Finite Element Method) simulation tools e.g. ABAQUS or ANSYS Good analytical
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, informatics, bioinformatics, biology or a similar field and some years of postdoc experience Profound experience with analytical and universal programming languages Evidence for leadership skills Very good
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excellent research, academic writing, leading laboratory or track side test and analytical skills. a highly independent and committed way of working, project lead, solid communication skills and team spirit
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or very-good university degree in economics, business studies, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on
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Fluent in written and spoken English or German High level of motivation, with a structured, analytical, and independent working style Excellent self-organization and time management skills Our Offer: We
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, medicine, or a comparable field Professional laboratory experience, particularly in the selection, purification, cultivation, and analytical characterization of human therapeutic cells; familiarity with
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system modeling is beneficial but not mandatory First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent written and spoken