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the planning methods into the open data AgiMo Digital Twin, (4) develop participatory planning methods based on the technical outcomes from the digital twin to create future scenarios for responsible mobility
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ambitious individual with team spirit, a high degree of curiosity, and eagerness to learn and make fundamental scientific discoveries. YOUR PROFILE: Applicants should hold a Master’s degree in the life
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Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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specimen-based analysis of trace fossils with exploratory fieldwork in southern Namibia, and neoichnological experiments in collaboration with scientists at Senckenberg am Meer in Wilhelmshaven. With
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. Transition metal-based complexes, in particular, offer rich spin properties that can be tailored through ligand design. This project aims to explore and optimize such molecules to enhance their performance as
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reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be complemented by own lab testing e.g., SSRT incl
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, and cohort-based human studies to explore how pollutant exposure influences metabolism, food preferences, and overall health. The successful candidate will focus on the biophysical analysis of receptor
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Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
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interest in interdisciplinary research with an eagerness to learn and develop new approaches. Candidates should hold a Masters or equivalent degree in (Bio‑)Chemistry, Biology, or any related field. What we