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Field
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? The NWA-ORC funded consortium project ABEL addresses this challenge by combining technology development with process modelling and assessment across the waste value chain. The members of the consortium
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Are you a MSc graduate with background in data science, computer science, biostatistics, bioinformatics or a related field? Do you have a solid foundation in machine learning? Are you passionate
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differential gene expression analyses Perform bioinformatic and statistical analyses to identify and interpret gene-level genetic and DNA methylation variation between accessions Assist in greenhouse work as
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processing could lead to low latency, low power dissipation, and fully utilize the intrinsic parallelism of light through wavelength or polarization multiplexing, enabling energy-efficient, high-speed, and
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address this multidisciplinary topic using state-of-the-art analytical techniques and data processing and analysis, guided by the highly qualified support staff at IBED. Together with your supervisors, you
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bioinformatics, computational biology or statistics combined with a strong interest in disease biology. You have: a Master's degree in life sciences, biomedical sciences, bioinformatics, computational biology or a
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follow-up experiments to understand how protective microbes influence plant–pathogen interactions; collaborate closely with researchers in microbiology, plant pathology, phenotyping, bioinformatics and
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, antimicrobial resistance, and ideally metagenomics or microbial genomics. Quantitative, statistical & bioinformatics skills Experience analysing complex longitudinal datasets, proficiency in R and/or Python, and
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under future climate and fishing scenarios. What are you going to do? You will develop stage‑structured population models for both species, explicitly including life‑history processes, sea‑ice dependence
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clearly, and are motivated to analyse complex spectroscopic data and connect these results to molecular processes. Strong initiative and passion for science Open to collaborate with students (BSc/MSc), PhDs