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calibrating them against established literature and comparing them with empirical data from fabricated components. Collaborate with the fabrication team to diagnose sub-optimal performance by identifying
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matching, optimal transport or cell-cycle modelling. Key Responsibilities These include but are not limited to: Leading an independent research project in scientific machine learning and mechanistic
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insulation systems. Implementation of simulation routines that allow for variable façade U-values based on local climate. Optimize the modular panel’s geometry to incorporate an air gap and any necessary
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-sensing concrete. Lab test and analysis of self-sensing concrete. Optimize and evaluate the performance for field trials. Publish several papers in top journals. Write proposals for further development
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interpret high-resolution single-particle cryo-EM data Operate the cryo-EM microscope Produce biomolecular complexes by molecular biology techniques Optimize sample production and purification, as
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• A strong foundation in mathematics, particularly in probability and optimization. • A PhD degree (or close to PhD completion) in engineering or management science degree, related
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optimized for single-molecule mechanical manipulation. Develop, refine, and implement automated data analysis pipelines using Igor Pro (or MATLAB, Python). Mentor graduate and undergraduate students within
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. Scale and optimize fabrication and cryogenic testing workflows. Characterize detector and system performance, including detection efficiency, dark count rate, timing jitter, and yield. Develop packaging
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. Analyze and interpret data to make informed recommendations for costal protection system design and optimization Writing and publication of results in peer-reviewed journals Assist in securing external
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antibiotic activity against clinically relevant bacterial pathogens, optimizing in vitro assays, and assessing lead compounds in preclinical infection models. A major focus will be developing and applying in