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Research Assistant/Associate Professor (Proteomics and Bioinformatics), Non-Tenure Track - (220000I3) POSITION SUMMARY Location: On-site at the University of Maryland School of Pharmacy, Baltimore
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bioinformatics such as Python, R, EdgeR, Cytoscape, ggtree, etc., as well as courses in data visualization and web development will be considered. At least 2 publications as first author and more than half a dozen
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. Tasks: Estimate genetic correlations, polygenic risk scores, prediction of causal genes, prediction of differential expression in brain, and construction of gene networks. Bioinformatic analyses will be
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with bioinformatics and analyses of complex data sets such as microbiomes. You are an independent, motivated student with an affinity for multidisciplinary and impact-driven research. You like working in
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environment and uses state-of-the-art techniques spanning a broad range from immunology, cell and molecular biology, (spatial) single cell omics and bioinformatics. RESPONSIBILITIES: Design and conduct
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: Excellent study or research performance You possess high scientific integrity Master’s degree (or equivalent) in immunology, biology, biomedicine, microbiology, bioinformatics or similar Knowledge in
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 1 day ago
.Eligibility requirements: The candidate must hold a PhD in Molecular Biology, Microbiology or related areas; Demonstrated experience in nanopore sequencing (from DNA extraction to bioinformatic analysis
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such as ChIP-Seq, ATAC-Seq, RNA-Seq, Cut&Tag or Cut&Run; Background in proteomics is desirable; Experience in bioinformatics and analysis of NGS or single-cell data; Animal experimentation license is
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diverse and dynamic team Provide general administrative and operational support such as HPC technical assistance Requirements A Ph.D. degree in Bioinformatics, Biostatistics, Biochemistry, or related
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biology and bioinformatics, as well as in Machine Learning (including Large Language Models). Good understanding of evolutionary and molecular biology concepts, and good statistical (data analysis) and