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, and bioprotection, including culture selection and process optimization. Establish and apply proteomics-based workflows to characterize protein mixtures and proteolytic events (peptide/protein profiling
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transcriptomic technologies and biological data interpretation is a plus. Familiarity with optimizing cell segmentation algorithms for enhanced accuracy and efficiency, as well as experience with tools/packages
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manufacturing of next-generation stack components. In this project, we aim to develop, optimize, and test an innovative monolithic component that aims to substitute conventional porous transport layers (PTLs) and
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will collaborate with leading scientists and industrial partners to design and optimize next-generation solvent systems for energy-efficient carbon capture processes. Your overall focus will be
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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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challenges in optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project
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the applicant and the Department of Ecoscience. The position concludes after 24 months. Job description The Department of Ecoscience, Aarhus University is looking for a post-doctoral researcher to optimize a
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part of a larger EU project entitled “FEDORA - Federation of network optimization services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient multimodal traffic
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characterisation Conduct advanced postprocessing of battery EIS data (e.g., using distribution of relaxation times) Collaboratewiththerestoftheteamacrossprojectsonmodelling,optimization,and electrochemistry