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Field
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postdoctoral fellows with expertise in computational biology, bioinformatics, or a similar field. While our lab conducts both wet and dry lab experiments, the current roles will focus on computational research
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UC Riverside-Department of Molecular Cell and Systems Biology | Riverside, California | United States | about 15 hours ago
. The candidates must hold a Ph.D. or equivalent degree in Immunology, Biochemistry, Molecular Biology or Bioinformatics at the time of hire. Preferred qualities include self-motivation in immunology and molecular
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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
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their thesis in a relevant area of stem cell biology will be considered). A track record of publishing research is also desirable. Experience in bioinformatics and cellular differentiation are relevant
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quantification, transcriptomics, proteomics, epigenetics and bioinformatics will be a major asset. Excellent writing and presentation skills are also required. Application Instructions Please submit a cover letter
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enhancement and neural resilience against aging and diseases like Alzheimer’s disease, Parkinson disease and other dementias – using synergistic cellular, molecular, behavioral, and bioinformatic approaches
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. · Utilize cellular assays to assess the impact of genetic manipulations on plant-microbe interactions. · In Silico Computational Analysis: · Analyze molecular datasets using bioinformatics
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. in epidemiology, biostatistics, bioinformatics, or a related quantitative field, with previous experience in analyzing large-scale omics data and strong programming skills in R / Bioconductor or Python
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bring benefits to patients. Who You Are: Ph.D. in Computational Biology, Bioinformatics, Human Genetics or related field Strong expertise in common disease genetics (GWAS, polygenic scores) and
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transcription. - Knowledge with immunological assays including antigen presentation assays. - Knowledge of proteomics or immunopeptidomic approaches. - Knowledge with bioinformatics and computational approaches