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of collective excitations, energy transfer in DNA origami structures, and ultrafast atomic forces. • Sharing your results in scientific publications and at international conferences. • Strengthening global
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, you will conduct an independent research project in the field of biomedical sciences. You will work in an international and interdisciplinary research environment and benefit from a structured doctoral
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analytical methods – including regression analysis, path analysis / structural equation modelling, and Qualitative Comparative Analysis (QCA) – to identify which forms of PP, under which conditions, affect the
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structured and goal-oriented manner. Strong teamwork and communication skills, with enthusiasm for collaborating in interdisciplinary and international research environments. Excellent written and spoken
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, this opportunity is for you, giving you a chance to make a meaningful impact on the future of healthcare. What is RAMP-UP? RAMP-UP is an international doctoral training programme coordinated by Lund Stem Cell
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of pollution—particularly in the world’s industrialized countries and megacities—lead to health impacts, damage to ecosystems, and crop losses. At the Institute of Climate and Energy Systems - Troposphäre (ICE-3
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replaced Assessment of the impact of additive manufacturing on material flows, resource demand, and energy systems Classification of additive manufacturing in resource strategies and system models
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deep understanding of the emergent structures, self-assembly, and dynamics on the basis of physical principles. All these systems are ubiquitous in nature and in everyday practical applications and are
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Experience in LLMs and developing LLM-based methods is an advantage Programming skills, ideally in Python Structured, analytical, and independent working style Reliability, attention to detail, and enjoyment
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 11 hours ago
as a private, non-profit research institute. HITS conducts basic research in the natural sciences, mathematics and computer science with a focus on the processing, structuring, and analyzing of large