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: Scientific and/or technical background (physics / electrical engineering etc.) Good grades in the current Master`s programme Good knowledge of English and German High degree of independence and effective way
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in physics, physical chemistry, chemical engineering, or related field Knowledge and competences in physical theory and modelling Experience and interest in computer programming Basic knowledge
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Your Job: Developing and implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC Advancing
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gaining practical experience alongside your studies An interdisciplinary collaboration on projects in an international, committed and collegial team Excellent technical equipment and the newest technology
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program in engineering, computer science, data science or a related field of study High interest in data processing and analysis and producing interesting plots using Python Very good Python (or other
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responsibilities will be: Supervise scientific projects from a variety of scientific and engineering research areas with questions in AI, machine learning, and data mining Project-based interaction with data-savvy
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field of natural sciences or engineering You have strong knowledge of European research funding and research policy issues such as artificial intelligence and cybersecurity, computational sciences and
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Your Job: Join the EU funded SAFELOOP project to develop and advance battery chemistries by introducing new functionalities into an existing battery technology to achieve ultra-high performant
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Your Job: The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find
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of quantum physics and interest in quantum technology Strong mathematical education, in particular, in relation to linear algebra Strong programming experience Ability to effectively communicate in written and