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Field
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Your job Climate change is profoundly impacting nature, ecosystems, biodiversity, and the services they provide to society. The COMBINED project – Combatting biodiversity loss and improving climate
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writing Supporting the group’s computing infrastructure, databases, and services Teaching activities in English and/or German Required skills and qualifications Doctoral degree/PhD with scientific focus
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. Dr. Andreas Mulch at the Senckenberg Biodiversity and Climate Research Centre, starting ideally in spring 2026 or as soon as possible thereafter: Research Assistant / PostDoc (f/m/d) in Earth Sciences
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economic effects of due diligence requirements. The project will also involve data collection and analysis using natural language processing (NLP) techniques to develop a more comprehensive overview of
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Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply their expertise to advance predictive
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Solutions to Climate Change: Developing a future Carbon Cycle with Synthetic Microbiology - To overcome the limitations of naturally evolved CO2 /CH4 -converting processes, we will leverage the methods
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of the Research Group "Contemporary History of Luxembourg" For further information about this position, please contact Christoph Brüll: Your profile PhD in History, or a related field Demonstrated experience in
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applications for postdoctoral fellowships in formal methods and programming languages, with emphasis on theorem proving. The positions can have a duration of up to 4 years. The targeted starting period is after
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written and spoken communication skills.Preference will be given to applicants with demonstrated expertise in energy systems analysis, in the collection, processing, and integration of country-specific data
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Qualifications PhD degree in computer science, data science, or related fields. Effective written and verbal communication skills Robust machine learning and natural language processing skills Proficient computer