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interest in agentic AI, online learning and optimization, and applications in economics. The full-time positions (100%) are initially offered for two years, with the possibility of extension, depending
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-motivation and interest to learn new skills Great to have: Experience programming in Python, Julia, or C/C++ Experience with Mathematica Experience with finite element methods, agent-based simulations, and/or
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software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new code via
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spoken English skills Willingness to stay in Bremerhaven during the 3-month feeding trial Communication skills and ability to work in a multi-disciplinary team and Our offer We offer an interesting
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Health • Clinical and Evidence-based Prevention • Health Services Research • Health Economics and • Evidence-based Public Health The prospective scholarship holders are selected in a multi-step process
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, technical and complementary skill topics) and a strong PhD student community the opportunity for travel to present your work a stimulating international and multi-disciplinary research environment on a
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social scientists from a range of Leibniz research institutes in a new multi-year research project on antimicrobial resistance (AMR), including statistical and econometric investigations of country-level
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. Treiber, the existing “Intelligent Agent Model” (IAM) for directional disordered traffic flow will be generalized to meet the above objectives (working name IAM2d). The main task is to simulate and
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problem-solving skills in technical/engineering contexts. Leadership experience in terms of leading or significantly contributing to multi-month technical projects and taking initiative in research
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contexts. Leadership experience in terms of leading or significantly contributing to multi-month technical projects and taking initiative in research or development activities. Experience working with