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programming skills. Your tasks in detail: Supporting research work in the field of welding technology and data processing Application and support of welding simulation software (FE software) Participation in
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from models. Your Qualifications / Experience: • A Bachelor or Master in computer sciences, engineering, physics, mathematics, or a related discipline • Work experience in data management and scientific
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(bioinformatics, computer science, genetics, or a related field) Excellent advanced scientific degree (PhD) in bioinformatics, computer science, computational biology or a related STEM field; prior working
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engineering or a comparable subject with natural sciences background. You have basic programming skills, preferably in Python. You have good language skills in German or English. You enjoy experimental and
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of Mathematics, Computer Science and Natural Sciences We are inviting applications for the position of full professor in the area of geometry and probability for high dimensions, to be filled as soon as possible
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. Research Focus The rise of powerful Large Language Models (LLMs) and autonomous AI agents is set to fundamentally change the practice of software engineering. As AI evolves from simple co-pilots to agents
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is looking to employ a Research Software Engineer for Ontologies and Knowledge Graphs (m/f
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of accounting and digital technology. Teaching responsibilities include courses in the university’s bachelor's and master's programs as well as in doctoral study programs. Dedicated engagement for introductory
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research program. What will be your tasks? The successful candidate will work closely with scientists, postdoctoral researchers, and doctoral students within the department, as well as external researchers
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. Programming experience in Python and Java; strong Java skills are especially desirable. Proficiency in English, with excellent skills in both writing and speaking. We offer: An interdisciplinary working