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and greenhouse gas emissions associated with cold storage of tubers. About You You will be educated to doctoral level in remote sensing, agricultural engineering, geospatial science, bioinformatics
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expected to have a strong foundation in genetics and/or genomics. Experience in pharmacology, bioinformatics, or data analysis is highly desirable and would be considered a valuable asset. Additional skills
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will be educated to doctoral level in remote sensing, agricultural engineering, geospatial science, bioinformatics (or similar relevant subject) and have research experience in plant science. With
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to the PhD position must have a Master’s degree (120 ECTS) equivalent higher education qualifications in computer science, AI, cybernetics, bioinformatics, or related fields. The degree must be accomplished
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edge molecular biology (sequencing and epigenetics) and bioinformatics. As a research focused academic at Level A, you will be supported and guided by more senior academic research staff with
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, covering areas from neuroscience and biochemistry to zoology and bioinformatics. Our neuroscience research spans multiple levels—from genes and molecules to behaviour and cognition. Visit the School of Life
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molecular and functional assays on cell lines, primary cells and iPSC-derived cells. Work closely with NGS and bioinformatics scientists to process genomic samples, analyze screening results, and generate
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Computational Biology, Bioinformatics, Computer Science or Machine Learning related field Demonstrated proficiency with Python, and machine learning libraries; pytorch, sklearn Experience with transformer
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bioinformatics pipelines for the routine analysis of amplicon and long-read DNA sequences obtained by Nanopore sequencing Analysis of metagenomic and amplicon sequencing DNA data. Writing and publication
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to collaborate as part of a team AI in Life Sciences Must have a Ph.D. or equivalent in a quantitative/computational field related to the life sciences. These may include bioinformatics, computational