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strengths in laboratory-based enquiry using molecular genetics, metagenomics, biochemistry, cell biology, bioinformatics and structural biology, with rich clinical resources in microbiology, virology
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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approaches (incl. 16S rRNA gene metabarcoding, bioinformatics) to assess how seagrass may improve the health of low trophic aquaculture (LTA) species (e.g. mussels, oysters) under future climate scenarios
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mechanisms, diagnosis and treatment of human infections. Our research bridges our strengths in laboratory-based enquiry using molecular genetics, metagenomics, biochemistry, cell biology, bioinformatics and
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research projects will be considered. Prior experience with 3D culture, infection model, mice experiments and bioinformatics skills preferred. In addition to the online application, please submit a
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mechanisms. Research directions include exploring DNA sequencing, DNA probe design, sequencing library preparation, bioanalytical chemistry, bioengineering and bioinformatics solutions for emerging problems in
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in bioinformatics, microbial ecology, plant-microbe interactions, or similar Collaborative skills and ability to participate actively in teams A fondness of taking the initiative and the motivation
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in molecular and bioinformatics studies, animal welfare indicators and/or nutritional chemistry. • Excellent technical report and scientific writing skills in English. • Experience in laboratory
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validations. What we are looking for PhD (or MSc with research experience) in AI, CS, Bio-engineering, or Bioinformatics. You have experience with applying AI technologies in (regulatory) genomics, as
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, Biochemistry or equivalent A publication record in peer-reviewed journals, and excellent proficiency in English for oral and written communications. Experience with bioinformatics and high-throughput approaches