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that they will actively and creatively develop and optimize the detailed methods to pursue the overall project goals. All work will be carried out embedded in a collaborative research team, requiring sharing
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for an expert in mass-spectrometry based proteomics who will work alongside our biochemists and microbiologists on detecting and optimizing casein PTMs . Who we are looking for The following requirements
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characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high-fidelity qubits operations
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We are looking for a motivated summer intern to join a collaborative project aimed at improving the performance of superconducting qubits by optimizing noise filtering in dilution‑refrigerator
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biochemists and microbiologists on detecting and optimizing casein PTMs . Who we are looking for The following requirements are mandatory: A Doctoral degree or equivalent in relevant disciplines
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, e.g. to transfer membrane proteins from discs into supported membranes to make aligned protein arrays for biosensor development, also remains to be studied in detail. This project will optimize
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topics The doctoral student has further responsibility to: Seek contact with the colleagues who best support a discussion about the results Find avenues for career support Formulate, develop and optimize
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designing, testing and optimizing such BY-kinase inhibitors. Who we are looking for The following requirements are mandatory: A Doctoral degree or equivalent in disciplines related to computational biology
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Doctoral student in Applied Mathematics with a focus on Computer Vision and Spatial AI (PA2026/1165)
new methods, for example, feature extraction from sensor data, solving polynomial equations, and optimization. The project is financed by the strategic research area ELLIIT and is part of the project
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treatment and hot isostatic cracking) to minimize/avoid cracking and optimize microstructure and properties. You will be working with hands-on manufacturing, microstructure characterization using advanced