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Field
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and
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analyses, quantitative genetic analyses, and bioinformatics methods development. Essential Function Yes Percentage of Time 35 Job Duty Dissemination of research via preparing publications in scientific
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of techniques that encompass microbiology, biochemistry, metabonomics, bioinformatics and gut modelling. It will require a skilled postdoctoral scientist who will be familiar with such methods or is
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modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks
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bioinformatic workflows. Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature Knowledge of machine learning / deep learning with an interest in
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well as with experimental data. A suitable candidate may focus on a specific expertise, such as bioinformatics. The main work will concentrate around sarcomas, but our solutions are generic and may be applied
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orientation, gender identity, national origin, and veteran or disability status. Minimum Qualifications PhD in Microbiology, Bioengineering, Biochemistry, Bioinformatics or a related field Preferred
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You have academic qualifications at PhD level, for example within the areas of bioinformatics, machine learning or forensic odontology. We favour experience in computational data analysis, and the
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independent projects, and engage in multidisciplinary collaborations. In addition, you will be encouraged to learn the widely desirable bioinformatics skills under the guidance of Dr. Zhang. We have received
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publications Presentation skills Experience working with mouse models Knowledge of bioinformatics Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience