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. Develop workflow for scaling up of processes. Develop methodologies to conduct in-depth structural and functional studies and improve instrumentation setup. Write reports. Collaborate with internal and
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approaches in our lab and broader community across Harvard and collaborative interactions elsewhere. Candidates should have a strong background in cell biology, physiology, biochemistry, structure, and/or
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dynamical structure directly from time-series data. This includes methodological work on nonlinear state-space reconstruction, system identification, reservoir computing and related recurrent architectures
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Materials, Bioinspired Materials and Sustainable Materials. The MWM Research Group investigates how structure, topology, and chemical interactions govern deformation, durability, and end-of-life behavior in
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Theory (DFT) calculations using established codes (e.g., VASP, FHI-aims). Demonstrated experience with traditional methods for modeling atomic site disorder, such as special quasi-random structures (SQS
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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: Science and research Come to CEITEC MU in Brno and join us! We are passionate structural biologists (focused on NMR spectroscopy of nucleic acids) at CEITEC, looking for Postdoctoral Research Fellow in Non
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learning in context. Our research examines mechanisms of human learning, the conceptual structure of human knowledge, how people communicate expertise, and effective strategies when trying to build new
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part of the research team to establish and understand the structuration of algae/soybean/mung bean proteins for high quality alternative protein foods including through high moisture extrusion. Key
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synthesis (SPPS) · Develop and screen non-covalent and covalent peptide libraries · Perform peptide folding and stability analyses (CD spectroscopy, VT-CD) · Conduct structural studies by NMR spectroscopy