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will join a team at the forefront of translational cancer research by developing and applying innovative bioinformatics methods for multi-omics data analysis. Your work will encompass diverse modalities
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modelling of neural systems Bioinformatics Imaging genetics Neuroimaging techniques (MRI, MEG, EEG) Comparative or cross-species neuroscience Excellent problem-solving, organisational, and communication
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J., et.al . Predicting tumor cell line response to drug pairs with deep learning. BMC Bioinformatics. 2018; 19(Suppl 18): 486. doi: 10.1186/s12859-018-2509-3 Chiu Y., Chen H., Zhang T., Zhang S
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Computer Science, Computational Chemistry, bioinformatics) and have extensive experience in academia or industry with a focus in computational drug discovery. Prior experience working with GPCRs would be
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Nanotechnology (IF=39.21), Brief in Bioinformatics (IF=11.62), Hypertension (IF=10.19), IEEE Transactions on Pattern Analysis and Machine Intelligence (IF=24.31), IEEE Transactions on Medical Imaging (TMI