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seeking a highly motivated and detail-oriented Bioinformatics Specialist to support computational analysis of large-scale biological datasets. This role will focus on the analysis of single-cell genomic and
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 14 days ago
the GA nº 2024.15445.PEX , according to the following conditions: Scientific area: Veterinary Sciences, Biological Sciences, Bioinformatics Admission requirements: Any national, foreign and stateless
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We are seeking a highly motivated and talented Bioinformatics Specialist to support Dr. Vamsi Mootha’s lab, which is co-located at Massachusetts General Hospital and Broad Institute. The Mootha lab
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. At least one year of previous experience in cancer biology, pharmacology, bioinformatics, and cancer genomics. We also encourage candidates who are trained in other research fields, such as developmental
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Primary Work Address: 50 Blossom Street, Boston, MA, 02114 Current HHMI Employees, click here to apply via your Workday account. We are seeking a highly motivated and talented Bioinformatics
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environmental and hormonal control of plant stem cell differentiation. You should be proficient in bulk and single-cell RNA-seq, ChIP-seq, and/or ATAC-seq analyses and standard bioinformatics pipelines
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, entrepreneurship and/or other activities supporting the applicant’s career development. Who we are looking for Requirements Doctoral degree in bioinformatics, biomedical engineering, computer science, image/signal
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be a fungal biologist with additional skills in bioinformatics, molecular biology, and confocal microscopy. At least two years of full-time research experience after obtaining an undergraduate degree
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 10 days ago
their maintenance and the preparation of organic and aqueous extracts; b. Molecular techniques and bioinformatics tools for actinobacteria and/or cyanobacteria identification; c. PCR techniques, such as quantitative
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resolution. Our methods include genomics (e.g., spatial transcriptomics, single-cell transcriptomics, metagenomics), bioinformatics (including machine learning and artificial intelligence), synthetic biology