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Field
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relevant to the chosen position (including biology, medicine, biochemistry, bioinformatics or a related discipline, depending on each PhD project) or its equivalent that would entitle them to a doctorate one
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
-funded consortium. Ph.D. (or equivalent) in Genetics, Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a related field Demonstrated expertise in population genetics, statistical
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science, biostatistics, bioinformatics, epidemiology, public health or a closely related field, has an excellent academic record with a focus on quantitative methods and the ambition to earn a doctoral
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, RT-PCR). Data and Bioinformatics: Genomic and transcriptomic analysis. Comparative genomics of pathogens and hosts. Phylogenetic analysis and sequence databases. Statistical analysis of biological
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Physiological Oxygen Levels for Enhanced Biomarker Discovery and Antioxidant Screening Beyond the Conventional Methods, with the number 16992 - Operation Code: COMPETE2030-FEDER-00828000, programme and tender
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contract. Eligible candidates must have a master’s degree relevant to the chosen position (including biology, medicine, biochemistry, bioinformatics or a related discipline, depending on each PhD project
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extractions, nanopore sequencing and quality control Experience working with metatranscriptomic or metagenomic data Experience using Linux and bioinformatics approaches, including binning and functional gene
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. The research group, led by Professor Thoas Fioretos , consists of about ten members with expertise in advanced flow cytometry, single-cell analysis, bioinformatics, antibody technology, and experimental systems
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
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markers, flow cytometry, and cell sorting. • Generation and analyses (bioinformatic and statistical) of environment and microbiome data, including amplicon sequencing libraries, metagenomes, and