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Field
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Epidemiological modelling (Plague) Apply for this job See advertisement About the position Postdoctoral Research Fellow in Epidemiological modelling focusing on the epidemiological modelling of how the plague
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or molecular biology with a basic knowledge of mitochondrial biology. Previous experience in cell culture, imaging and CRISPR screening in mammalian cells is a strong advantage. Experience with
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features in alloys, to aid future alloy design. The UNSW team, lead by A/Prof Patrick Burr, will provide the modelling contributions, and the team at USyd, led by Prof Julie Carney and Dr Ranming Liu, is in
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
conduct catalytic experiments using advanced transient methods based on mass-spectrometry and develop mathematical models to interpret these data in terms of molecular mechanisms. International
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Molecular Sciences Building (MSB) as part of the School of Chemistry at the University of Birmingham and will be conducted in close collaboration with Public Health England (PHE) at Porton Down. You will be a
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memory and stress priming. The successful candidate will join an interdisciplinary team of molecular biologists, bioinformaticians, and crop scientists to investigate how plants remember and respond
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, immunohistochemistry, EEG/EMG in mice is strongly preferred. Experience in molecular cloning or computational modeling is a plus. The appointee should be organized, self-motivated and be able to work independently as
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Fellow to join our research team. Our laboratory focuses on investigating the molecular mechanisms underlying liver fibrosis in chronic liver disease, utilizing advanced biochemical and molecular biology
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novel inhibitory/degrader drugs in preclinical models. The individual should be familiar with routine molecular biology techniques and have an educational background in biomedical sciences or related
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on foundation models that combine molecular data and electronic health records. Working as part of the group of AI researchers in the AI Virtual Laboratory. Educational activities relating to molecular metabolism