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team to develop/produce/investigate extraction and fractionation of mung bean/rice/spent barley for improved functionality, generate process data for future life-cycle assessment and techno-economic
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responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for
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frameworks (e.g. PyTorch, TensorFlow) and relevant libraries. Practical experience in scalable data processing, including the use of parallel computing, cloud platforms, and distributed systems for efficient
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search using vacancy reference B02-09130. About you You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science
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— from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for
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of this position is to develop a massively parallel version of a computer code called Commander, and apply this to archival data from Planck HFI, new data from Simons Observatory, and simulated data from LiteBIRD, a
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of biological sciences and/or bioinformatics. Experience in bioinformatic analyses of complex datasets. and/or Experience of in vitro cell culture & Experience in various techniques such as RNA extraction
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of academic publishing Knowledge of bioinformatics tools (R, Bash, NeSI) is an advantage Alignment with Manaakitaka and Lincoln University values. Kā hua ka riro ki a koe | What's in it for you? At Lincoln
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agriculture with appropriate industry experience Demonstrated research excellence in plant physiology, plant molecular biology, phylogeny, molecular evolution, bioinformatics, multi-omics, and programming
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sinks, recent research has shown that they can also emit methane, nitrous oxide, and underexplored VOCs. Microbial activity is key to these emissions, but we need to understand how different processes