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We are looking for a motivated and team-oriented PhD student starting from 1st March 2026 (earlier or later possible) in the research group of Dr. Charlotta (“Lotta”) Lorenz. Lotta will start her
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We are looking for a motivated and team-oriented PhD student starting from 1st March 2026 (earlier or later possible) in the research group of Dr. Charlotta (“Lotta”) Lorenz. Lotta will start her
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conferences Individual development plans, mentoring programs, and support from experienced specialists Open, team-oriented work atmosphere in an international environment 30 days of annual leave Company pension
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) Country Netherlands Application Deadline 16 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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contract is signed. Applicants must demonstrate strong mathematical maturity and programming skills, and have an excellent ability to communicate in English, both orally and in writing. Furthermore, you
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-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description International Call for
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Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This project investigates how human muscles can generate maximal
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the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association www.leibniz-gemeinschaft.de . You can find more details on the institute webpage: www.ikz-berlin.de . The Section Fundamental
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Large language models (LLMs) can read and write text and code, call tools, and follow instructions. They now allow us to build agents that plan and act over many steps instead of giving a single