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Field
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the planning, implementation and development of behavioural studies. This includes field-based research in commercial and experimental farming environments, analysis of complex behavioural data, and leading
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on bioinformatics analysis of spatial gene expression data as well as other modalities (i.e. microbiome; metabolites, proteins) generated using the Spatial Transcriptomics (ST) method, Spatial metaTranscriptomics
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accurate, efficient, and robust AI models capable of operating effectively within complex and dynamic radiofrequency spectral landscapes, accounting for real-world interference, noise, and channel
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algorithmic aspects related to the development of highly accurate, efficient, and robust AI models capable of operating effectively within complex and dynamic radiofrequency spectral landscapes, accounting
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dynamics of complex molecular systems, and relationships between the presence of biomolecules and synthetic chemical compounds with various disease states. There is also strong research in method and
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industry at both national and international levels, with applications in the transport and manufacturing sectors. Work tasks mainly consist of research, data collection and analysis, writing scientific
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in clinically relevant environments. Key work assignments include: Design, fabrication, and optimization of high-performance plasmonic nanostructures and SERS substrates for sensing in complex
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. The work will use microorganisms as a starting base, as these are biologically relevant, yet complex and challenging to resolve spatially, provide an ideal benchmark for the method’s performance
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collaboration with industry at both national and international levels, with applications in the transport and manufacturing sectors. Work tasks mainly consist of research, data collection and analysis, writing
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detection of ongoing attacks with well-understood AI methods used for system and network monitoring, (partially) autonomous and explainable reaction to attacks in presence of resource trade-offs and complex