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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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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 | 11 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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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
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of the superconducting re-buncher for the third cryogenic module of HELIAC. Another important task will be the design and implementation of an automated test stand for superconducting cavities of HELIAC, which
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they adapt, and engineer bioreactors that turn this challenge into a design advantage. PhD 2:Make microbes build cities. You will develop and study gas-fermenting granular communities that organize themselves
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-sensitive microbes to their limits, uncover how they adapt, and engineer bioreactors that turn this challenge into a design advantage. PhD 2: Make microbes build cities. You will develop and study gas
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-Sailors - Electric solar wind Sail doctors (salary according to MSCA regulation) starting May 1, 2026. This project has received funding from the European Union’s Horizon Europe research and innovation
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computing architectures, replacing conventional structureless and deterministic LIF point-neuron models. This is pursued through circuit designs that exploit and control memristor dynamics (e.g., local