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Field
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further develop and implement bioinformatic pipelines. For example, using AI we see opportunities to use the genomic data to train datasets for species identification and delimitation, such as image
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genetics, immunology, computational biology, systems biology, neuroscience, bioinformatics, or a related field Strong background in either wet-lab experimental biology or computational/statistical genetics
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to clinical applications. Data Analysis & Scientific Communication Conduct bioinformatics and statistical analyses of large-scale omics datasets. Prepare research reports, manuscripts, grant applications, and
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through the development of more effective diagnostic and therapeutic approaches. Qualifications and Experience · PhD in Bioinformatics, Computational Biology, Statistics, Genetics, Genomics, or a
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working conditions. Basic Qualifications Doctoral degree (e.g., PhD, ScD, etc.) in area such as biostatistics/bioinformatics, implementation science, medicine, health economics, social work, sociology
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University of Aberdeen - School of Medicine, Medical Sciences and Nutrition, Institute of Medical Sciences | Aberdeen, Scotland | United Kingdom | 28 days ago
, Institute of Medical Sciences Aberdeen, United Kingdom GBP 38,784 - 46,049 per year We seek to appoint a bioinformatics fellow with knowledge, ability and demonstrated aptitude in computational biology. The
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University of Aberdeen - School of Medicine, Medical Sciences and Nutrition, Institute of Medical Sciences | Aberdeen, Scotland | United Kingdom | 28 days ago
immunology, thrombosis/fibrinolysis, bioinformatics and clinical colleagues. It is hoped that together, the group will provide the leap of science required to understand the full pathway in which this newly
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interdisciplinary exposure to genomics, bioinformatics, agricultural science, evolutionary biology, and pest management research. Mentor(s): The mentor for this opportunity is Erin Scully ([email protected]
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biocatalysis. The Research Fellow will help conduct large-scale bioinformatic, mechanistic, and structural analyses to elucidate the physical basis of enzyme activity; develop computational models that integrate
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models. · Experience with bioinformatics, single-cell sequencing analysis, spatial biology, or computational data analysis is desirable but not required. · Proven scientific productivity