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-efficient neuromorphic computing inspired by the functioning of the human brain. Two-dimensional materials such as graphene and transition metal dichalcogenides (TMDCs) offer high potential for scaling and
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tomography) alongside conventional Evo-Devo and molecular biology methods.
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and administrative duties. Requirements: very good university degree in mathematics, preferably with a focus on probability theory or analysis; curiosity and strong interest in rigorous, methodical
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, and optoelectronic properties of nanoribbons prepared from 2D materials, mainly graphene and transition metal dichalcogenides. Our teams are part of a larger collaboration, focusing on various aspects
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economics on the other side? In this unique doctoral program, you will be able to conduct an interdisciplinary research project that revolves around computational methods such as mathematical models
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the opportunity to acquire expert skills and knowledge of innovative single-molecule manipulation methods applied to a highly relevant topic of molecular separation. Salaries will be according to DFG standards
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DRESDENconcept Research Group "AI4Quantum", which develops and applies novel machine learning (ML) methods to study complex quantum systems relevant to the green energy transition. The focus is developing novel
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light-control methods using intense ultrasound fields Develop, plan and carry out experiments involving modern ultrafast lasers and state-of-the-art acoustics Prepare scientific publications and present
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/Diploma) in food chemistry, biochemistry, nutritional sciences or a related field sound knowledge and experience in the use of instrumental analytical methods such as HPLC-MS, GC-MS experience in
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range of methods, including survey psychology, response-time paradigms, process-tracking techniques (mouse-tracking, eye-tracking), and incentive-based behavioral paradigms and experience in (learning