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significantly slows down the development of new desirable nanostructures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA
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gain comprehensive experience in SAW technology, NEMS/MEMS, and material science. The project will prepare you for further career advancement in both industry and academia. You will work under the
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, Biomedical Imaging, or a related field A strong interest in molecular imaging (PET) and magnetic resonance imaging Experience with programming (Python, C++, Matlab) A keen interest in experimental work, as the
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discipline Solid wet-lab experience in molecular biology, ideally with tissue or protein work Motivation to develop bioinformatics and data analysis skills (training provided) Proficiency in English (spoken
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university degree (diploma, master's degree) in transport or traffic flow or related study programs. Solid knowledge of at least one programming language, preferably Python, experience in model-based
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scientific and transferable and professional skills training, retreats and events, as well as opportunities for gaining international experience, for example, during conference participations or a lab research
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experience with the complex phenotyping of immune cells and proficiency in working with in vivo animal models, including handling, experimental design and tissue sampling. If you are interested in this project
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(semiconductor) physics Good knowledge in surface science Experience in epitaxy and surface science methods Basic knowledge in German Independent, structured, and goal-oriented working style Please provide
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of the Universe, and their internal charge structure is deeply connected to the absence of antimatter in the cosmos. Precision experiments with ultracold neutrons already reach energy resolutions of 10
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep