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Field
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Range Based on Post Doctoral Experience Type of Position Temporary Position Time Status Full-Time Required Education Ph.D. in statistics, biostatistics, data science, bioinformatics or related field
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of extension up to three years depending on performance. This position offers an exciting opportunity to join a multidisciplinary and collaborative research environment combining genomics, bioinformatics, aging
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S2AQUA – Collaborative Laboratory, Association for a Sustainable and Smart Aquaculture | Portugal | 19 days ago
Regulation, it is hereby made public that the opening of a call for a Research Fellowship (Postdoc) in the field of bioinformatics, genetics or similar areas, with an interest in biology and proven experience
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ideas and prepare scientific publications Participation in national and international conferences and collaboration in research networks your profile PhD in Bioinformatics, Computational Biology, Systems
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bioinformatic analyses of large datasets Presenting your work at national and international conferences Working alongside a range of cardiovascular researchers to enhance your professional development
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Fishes” (Grant nº 2024/03891-8), starting in 2026. Requirements: -Ph.D. degree obtained no more than 7 years ago in Animal Genetics or related fields; -Proficiency in bioinformatics tools, such as Linux
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initiatives develop, coordinate, and manage clinical trials in alignment with regulatory standards draft and submit grant proposals to secure research funding apply bioinformatics, biostatistics, and
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KEY RESPONSIBILITIES: Design and execute experiments in molecular biology, biochemistry, and single-molecule imaging. Perform RNA-Seq and bioinformatic analysis of phage-infected bacterial
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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and inhibitors · Immunohistochemistry, immunocytochemistry and confocal microscopy of membrane proteins · Transcriptomics, proteomics, and bioinformatic analysis of omics data · Mass