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turbulence profiles provide additional data for training and testing. A specific aim is to further develop the methodology of modular compositional learning (MCL). Here, an aquatic ecosystem model is
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. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
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operation of defined microbial communities, and modeling on metabolic interactions. Your qualifications You should have a PhD in microbiology, molecular biology, molecular genetics, or related field, and
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quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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GWAS software (e.g., GEMMA, EMMAX, GAPIT, FarmCPU, BLINK). Ability to run mixed linear models, handle covariates, correct for population structure/kinship, and perform quality filtering of SNP data
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composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of
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June 1, 2026, or soon thereafter. The position is within the research section Management and Modelling. The research section Management and Modelling develops methods and tools for herd management
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of this position aims to develop computational methods for design of modular RNA origami robots. The project includes the following tasks: Develop computer-aided design software for modular construction