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Field
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on advancing the understanding of ophthalmic diseases through innovative multiomics approaches and bioinformatics. The postdoc will engage in interdisciplinary collaborations to drive novel research initiatives
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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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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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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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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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models, algorithms and data structures for high throughput sequencing data with a main emphasis on genome assembly. The research group is part of the Algorithmic Bioinformatics lab at University
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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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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and