37 assistant-professor-computer-science-data-"https:"-"https:" research jobs at Leibniz
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! background in computer science, open-source projects, digital engineering, data science or related fields good software design skills and experience in building and maintaining data processing pipelines and
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responsibilities: support our research on the political economy of climate policies take part in data science and empirical analyses contribute to assessments of cause-effect-relationships in the domain of climate
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(IWH-DPE ). Knowledge of German is not a requirement for the position. Further information The IWH is a family-friendly employer that guarantees equal opportunities. We highly appreciate diversity and
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of composite materials "from the scientific basis to the component". To strengthen our team in the „Mechanische Charakterisierung & Modellierung“- we are looking for a Research Assistant (m/f/d) Your task You
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text
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of composite materials "from the scientific basis to the component". To strengthen our team in the „Smart Composites & Nondestructive Testing“- we are looking for a Research Assistant (m/f/d) Your task Non
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further both professionally and personally in an interdisciplinary setting. Position The DWI is looking for a Postdoctoral researcher to develop new granular biomaterials for tissue engineering purposes
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: As part of an effort to improve our Open Science support infrastructure, we want to collect data on researchers’ needs for Open Science support and their interest in verified data about their own and
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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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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with