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English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate confirming the language level. Knowledge of German is not prerequisite
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Profile: Master`s degree with PhD in physics, chemistry, materials science, chemical engineering, or a related discipline Fundamental knowledge of scanning probe microscopy, especially scanning
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measurements, and simulation results Integrate data engineering workflows with HPC-based simulation environments Optimize and parallelize software solutions for execution on one of the world’s most powerful and
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chemical biology and biotechnology, enabling the preparation of defined oligonucleotides for a wide range of research applications. This project focuses on the experimental development and optimization
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engineering Willingness to work in laboratory and cleanroom environments Ideally, initial experience in a technical or scientific environment (e.g. cleanroom, laboratory) Knowledge of solid state physics and/or
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science, physics, or a related field Basic knowledge of perovskite PV or semiconductor physics Initial experience in with an object-oriented programming language (e.g., Python, Matlab) Analytical and
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. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications, and training methods - across
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 3 months ago
and optimization of solid-phase DNA synthesis methods, including reaction workflows, process parameters, and analytical evaluation of synthesized oligonucleotides. The work is part of an ongoing PhD
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hierarchies You have a very good command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate confirming the
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detail: Identification of novel electrolyte components (conductive salts, solvents/co solvents and functional additives) and their optimal compositions for the development of advanced non aqueous aprotic