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previous work with supporting publications is a necessary: Development of DNA-based molecular robotic machines to carry out specific tasks with regulated functionality for various biological applications
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conditions, mycorrhizal colonisation and community composition, and spruce resistance against European spruce bark beetle attack. The project uses a simulated drought event, combining field studies, laboratory
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of cancer cells. The models are trained on high-throughput datasets, including metabolomics, proteomics, and transcriptomics, and constrained to align with the cell’s molecular networks. This allows us to
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. We are looking for a PhD student in Medical Science with an interest in molecular and structural virology
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School. DDLS uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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equipment e.g. STM. Simulating fabrication methods. Collaboration with other groups at NQCP and companies/academic groups in and around the Copenhagen area. Join us in this major confluence of exciting
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time-scales: ab initio methods for the description of reaction processes, for the determination of electrochemical stabilities and for the optimisation of force fields; molecular dynamics simulations
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relevant field (e.g. bioinformatics, genetics, molecular biology) Proven programming skills (preferably Python, other languages also appreciated) A strong background in biology Strong interest in molecular
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acute pathology. The development of such a molecular imaging probe for direct and sensitive detection of fibrosis during the early stages of pathology would represent a true breakthrough in the field
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will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we will