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on experimental techniques and methodologies. Desirable Skills and Experience Experience with bioinformatics tools for RNA sequencing data analysis. Knowledge of immune responses to viral RNA and cellular stress
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DNA/RNA extraction, PCR, qPCR, Western blotting, and immunohistochemistry to support research projects. Assist in next-generation sequencing (NGS) library preparation and contribute to bioinformatics
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expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join a dynamic and interdisciplinary team focusing on the development and application of novel statistical
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safety regulations are followed Qualifications • Bachelor’s or Master’s degree in molecular biology, cancer biology, bioinformatics, computational biology, computer science, or related field
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found online: https://www.jglab.org/ and www.github.com/goekelab Requirements: PhD in Bioinformatics, Computer Science, Statistics, Genomics, or a related discipline Good programming skills and strong
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collaboratively in a fast-paced environment Prior research experience in neuroscience preferred RCULA certification preferred Prior research experience with bioinformatics is advantageous Hiring Institution: LKC
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the Department of Biostatistics and Bioinformatics at Duke University in the USA. This position represents an outstanding opportunity to become a high impact investigator in Singapore. The successful candidate
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microscopy experiments (e.g. confocal and light sheet) would be advantageous Experience and interest in performing programmatic bioimage analysis (ideally Python) and/or bioinformatics is required Candidate
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, genomics, bioinformatics, and related clinical knowledge. Prior experience in project management, planning, and coordination would be advantageous. Have strong research skills with the ability to present
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to independently acquire skills related but not limited to: next generation sequencing (particularly methylation analysis), population (epi)genetics, statistics and bioinformatics, high dimensional data analysis