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Field
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experience in life cycle assessment (LCA) and related tools for managing large data sets to evaluate natural resources needed to advance emerging technologies. The candidate will lead their primary project and
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
of (a) (young) stellar clusters, (b) molecular gas and dust, or (c) star-forming sites (e.g. HII regions) in gas-rich galaxy centers. The work will encompass all aspects from data reduction to their in
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that connect animal health, data analysis, and human behavior. Design and carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create
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you will be offered an 18 month fixed term contract. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified
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The post holder will be expected to have a PhD in law or political science and skills to handle large dataset and conduct quantitative analysis and other empirical analysis. Familiarity with LLM (large
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
of English (Knowledge of German language not required) Additional experience in optics, machine learning, big data, in-strument design, image analysis, or electronics is a plus. Key responsibilities Design
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personal interest in pursuing a Postdoc position on the announced topic and at UNIS. Full academic CV. Transcripts and diplomas showing the completion of a PhD degree. Contact information for two references
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, including fitting and manipulation of large array-type data sets (using Python, Matlab or equivalent) Ability to communicate well, and work within a collaborative team environment Preferred Knowledge, Skills
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well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role We are seeking to fill a position of Postdoctoral Research Associate, working in close
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required. Qualifications Required Education and Experience: Appropriate PhD in neuroscience, neurophysiology, or a related field. Preferred Qualifications: Expertise in software /data analysis such as