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in the lab. · Computational biology: Perform bioinformatic analyses, including RNAseq analysis, genome sequence alignment, phylogenetic tree creation, and protein structure prediction
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. Publication and Presentation: Publish research findings in high-impact journals and present at scientific conferences. Qualifications: Educational Background: Ph.D. in bioinformatics, computational biology
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apply bioinformatic tools (e.g., R) to analyze complex datasets. Additional responsibilities include contributing to manuscript and grant preparation, presenting findings at scientific conferences
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data with advanced methods such as flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. Work with team members across different disciplines such as chemistry, biology
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(renewable, contingent on performance and funding) will work under the mentorship of Dr. Fei Ye on to conduct quantitative research on development and application of statistical/bioinformatic methodology
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skills. The ability to work both independently and in a team environment Ability to write manuscripts independently EDUCATION & EXPERIENCE: Ph.D. in Bioinformatics, Computational Biology, Biostatistics
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laboratory records and manage data using sound statistical and bioinformatics tools. Prepare manuscripts for publication and contribute to grant applications. Present research findings at internal seminars and