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in insect identification, insect rearing, behavior, and genetic and microbiological techniques, as well as fundamentals of statistics and bioinformatics. You will also have opportunities to develop
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workflow, including library preparation, Illumina/MinIon sequencing, bioinformatics analysis, and pathogen identification approaches. Learn to evaluate, analyze, and interpret NGS data using appropriate
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. Training activities will include analyzing existing datasets and generating new molecular and metabolic data using advanced sequencing technologies and bioinformatics methods. Throughout the project, you
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should have received or be currently pursuing a doctoral degree in one of the relevant fields (molecular biology, microbiology, bioinformatics, or a similar discipline). Preferred skills: Experience
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or genomic data. Bioinformatics, phylogenetics, molecular evolution, or genomic epidemiology. Scientific writing and oral presentation. Applicants are not expected to have experience in every area. Additional
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received a doctoral degree in the one of the relevant fields (e.g. bioinformatics, computational biology, or relevant degrees (such as molecular biology, genetics / genomics, systems biology, microbiology
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anticipated to receive by July 2027. Preferred skills: Academic training in computer science, artificial intelligence or machine learning, data science, bioinformatics, computational biology, epidemiology
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fields (data science, bioinformatics, health informatics, computer science, information systems, statistics, public health, biological sciences, microbiology, or a related field). Degree must have been
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, Aquaculture and Aquatic Sciences, Microbiology, Molecular Biology, Bioinformatics, or a related field in Biological Sciences). Preferred skills: Knowledge and background in aquaculture, microbiology, molecular
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sequencing) Familiarity with statistical analysis or bioinformatic software (R, Python, QIIME2, BLAST-based workflows etc.). Scientific writing (i.e. thesis chapters, manuscripts.) Stipend $74,678.00 Yearly