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in next-generation antibody engineering (bi-/multispecific and multimodal formats), phage display, gene-editing–based molecular and cellular glycoengineering, and optimized mammalian cell systems
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optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and behavioral data and present results
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excellent opportunities for scientific advancement WORK-LIFE BALANCE: Optimal conditions for balancing work and private life, as well as a family-friendly company policy. The option of flexible working (in
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the most informative polarimetric parameters and optimal wavelengths for detecting abiotic stress. This approach will contribute to more accurate digital phenotyping, supporting sustainable crop monitoring
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approach combining: • The implementation and optimization of environmentally friendly extraction processes, • A fundamental understanding of the associated inhibition mechanisms, and • Life-cycle analysis
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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be to optimize existing technology and adapt the process for the needs of the partners working on the innovative recovery of lithium and other valuable metals. Please observe: Since the department is
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) and molten salts - Optimization of synthesis conditions followed by physicochemical characterization of the materials obtained - Synthesis of MXene and hard carbon composites - Preparation of electrodes
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required. Expertise in optimization or efficient algorithm design will be considered an asset. Applications should include a CV, a list of publications and a research statement. Applicants should also
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and the optimization of experimental protocols, and disseminating results through scientific publications and conference presentations. The candidate will interact regularly with theoretical and