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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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include: · Ph.D. in life/biomedical sciences or related field required. · Proven research success and publications, preferably in genomics and bioinformatics. · Strong analytical and
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, or related approaches. Hands-on experience in high-throughput screening techniques for protein interactions and degradation pathways. Familiarity with computational tools for data analysis and bioinformatics
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and standing recognised by the University/profession as appropriate for the relevant discipline area (e.g., AI/Machine Learning, Bioinformatics). A proven track record of research and scholarly
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with high-performance computing clusters. Experience in using different libraries such as RDKIT, DeepChem, Scikit, and Numpy. Experience working in bioinformatics techniques including phylogenetics
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Strong organizational and time management skills Additional optional desired skills: Experience with translational cancer research and clinical trials Proficiency in bioinformatics and statistical analysis
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experience in advanced molecular cloning, protein biochemistry, and single-cell approaches. · Experience in structural biology, proteomics-lipidomics, and bioinformatics is preferred. Salary: Commensurate with
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gnotobiotic studies and microbiome analysis/bioinformatics. Key Competencies/Requirements: Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with strong publication track record Lead
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to collaborate as part of a team AI in Life Sciences Must have a Ph.D. or equivalent in a quantitative/computational field related to the life sciences. These may include bioinformatics, computational