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for application The successful applicant must have experience in the following areas: Recombinant protein expression and purification Determination of protein-ligand complexes using X-ray crystallography
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-ligand complexes using X-ray crystallography or cryogenic electron microscopy (cryo-EM) Determination of protein ligand binding using biophysical methods (SPR, ITC, or related methods) Experience in
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the project TIME4CO2 TIME4CO2 aims at advancing simulation technology for CO2 storage, capturing dissolution processes and convective mixing, validated against high-resolution complex meter-scale
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technology for CO2 storage, capturing dissolution processes and convective mixing, validated against high-resolution complex meter-scale laboratory experiments in the FluidFlower . The project is an
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fasting) from wearables and other sources with multi-omics biomarkers. The project involves refining deep learning approaches, such as recurrent and convolutional neural networks, to improve personalized
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be proficient in both written and oral English. Experience in isolation and characterization of natural products from marine biomass is an advantage. Experience with MS/MS and ‘molecular networks’ is
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for excellent scientists with background and experience in one or more of the following areas: graph algorithms, parameterized complexity, approximation algorithms, extremal combinatorics, structural graph theory