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will acquire Electronic structure theory calculations of materials, atomistic molecular simulation methods Experience with machine learning methods Expertise in surface science characterization
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sequencing. The group is located at Science for Life Laboratory, which hosts multiple cutting-edge facilities, and a community of researchers dedicated to improving technologies in life science, and we belong
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in the soil, but also added by agricultural activities, especially the use of copper-based fungicides. In this project, we will combine multiple representative substance groups simulating
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colleague? Apply now! Education · You hold a Master’s degree in Microbiology, Biology, Molecular Biology or equivalent Experience and skills · You have a strong interest in the antimicrobial
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fellow to work on a newly funded project investigating the molecular mechanisms of cardiac arrhythmias in the setting of metabolic disorders. We utilize heterologous and native expression systems including
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thesis on a topic relevant to this project. Proven experience in molecular dynamics simulations of proteins or protein-ligand complexes is an advantage. You possess: A successfully completed MSc degree in
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relevant to this project. Proven experience in molecular dynamics simulations of proteins or protein-ligand complexes is an advantage. You possess: A successfully completed MSc degree in computer science