94 Computer Science "Leibniz Institut für Analytische Wissenschaften ISAS e.V." positions at Helmholtz in Germany in Germany
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, or algorithms to integrate neuromorphic-inspired computing paradigms. Your main tasks will include: Identify areas where neuromorphic-inspired paradigms can be applied Develop concepts to integrate CMOS circuits
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, Computational Engineering, Computer Science) A doctorate is desirable, but not mandatory Strong computational background, including scientific programming skills (e.g. in Python) Expertise in one or more of the
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, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and algorithms, preferably in the domain of QC, such as
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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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Your Job: Analysis and integration of diverse biological data from the field of plant sciences (large scale genomic, transcriptomic, proteomic, metabolomic and/or single cell data) using cutting
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engineering, computer engineering, computer science, or related fields Background in device physics and analog or mixed-signal circuit designs Strong skill in mixed-signal circuit designs (active filter
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, computer science, data science or life science related fields with proven track record in data analysis/bioinformatics Knowledge in programming languages (e.g. Java, Rust, C/C++) and statistical analysis using R
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the preparation of third-party funding proposals Support in establishing the institute Your Profile: Master`s degree in physics, chemistry, material science, chemical engineering, computer Science, or related
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in working closely with experimentalists Detailed knowledge of quantum physics and experience with quantum technology Strong mathematical education, in particular in relation to linear algebra Strong
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quantum mechanical models Your Profile: Scientific Master degree or comparable degree in electrical engineering, computer science, physics, or similar field Basic knowledge in (integrated) circuit design