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Field
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sensors based on the integration of organic light emitting diodes (OLED) onto silicon CMOS substrates. Here, our activities range from the initial idea, through design in close cooperation with the OLED
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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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and optimizing building designs will be developed. The goal of this project is to develop a methodology for automatically checking building designs against regulations, and then provide reasoning about
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in plants and other eukaryotic systems. Your tasks: Design, clone and test synthetic tools, tailored for plant factors involved in EJ-processes Establish and apply the Bindcraft pipeline for the de
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cryogenic modules. The candidate will be responsible for the development of the superconducting re-buncher for the third cryogenic module of HELIAC. Another important task will be the design and
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 15 days ago
Job Offer from December 01, 2025 The Department of Molecular Simulations and Design (Prof. Dr. Matthias Stein) at the Max Planck Institute for Dynamics of Complex Technical Systems is inviting
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The Institute of Material and Process Design at the Helmholtz-Zentrum Hereon GmbH invites applications for a doctoral candidate in the field of dissimilar laser beam welding with a strong focus on
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on developing the imaging system as well as novel machine learning approaches for image analysis and disease classification using field data from German and Brazilian agricultural trials. Responsibilities Design
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(ECLECTX team). This person occupying this position is planned to work on modeling computing elements, established and emerging, at different levels of abstraction, design and development simulation tools
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investigate novel recycling processes on spent batteries based on electrochemical methods. The following steps are to be carried out: Characterization of CRM sources Design of pretreatments depending