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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties The successful candidate is expected to: Build and evaluate chemical databases
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individuals with disabilities to perform essential functions. Overview The individual will conduct experimental research, maintain and optimize specialized instrumentation, and contribute to data analysis
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et al., Nature 2021. 3 - Feed-forward loops between metastatic cancer cells and their microenvironment-the stage of escalation. Baumann Z, et al., EMBO Mol Med. 2022. 4 - Optimized full-spectrum flow
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-based optimization) for NP formulation design, targeting specific therapeutic outcomes such as blood-brain barrier permeability and tumour accumulation. Couple generative models with counterfactual
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including (but not limited to): Design and conduct independent research projects focused on brain aging and age-related neurodegenerative diseases, particularly Alzheimer's disease. Apply and optimize
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valuable insights to help optimize device performance. Additionally, you will support collaborators by assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy
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in developing and optimizing infection models. In addition, the postdoctoral associate will have the opportunity to work in a collaborative environment, gain experience in studying polymicrobial
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and power (CHP), and application-specific energy storage systems. We are also exploring how quantum computing can unlock new optimization and control strategies in future power systems. Our projects
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in the project funding the position: modular cloning of hydroxylases and CPR genes in Escherichia coli, expression of P450 and CPR in Saccharomyces cerevisiae, optimization of expression conditions
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coatings. Key responsibilities include: Developing and optimizing advanced surfaces using state-of-the-art thin film technologies Characterizing prepared thin films using scanning electron microscopy and