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Field
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for four Postdoctoral Researcher positions, within the above-mentioned project. The recruitment process is organized: based on Justification Note no. 7591/17.03.2026, approved by the university management
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workflows within selected ELM use cases by developing code to create semantic annotated data structures. Development of metadata schemas for typical synthetic biology steps and methodologies in ELM research
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. This individual will also assist in developing the infrastructure, tools, and collaborations needed to integrate genomic, transcriptomic, imaging, and clinical data in ways that advance precision veterinary
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integrates advanced analytical tools and a biopsychosocial framework to explore how this complex problem unfolds across different sociocultural contexts. By leveraging both national and international
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dynamics, applying advanced non-targeted metabolomic approaches using high-resolution mass spectrometry, including data processing, metabolite annotation and identification workflows, as
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, with particular emphasis on farmers’ lived experiences and perspectives. We are mainly interested in carbon farming programs that leverage digital tools to collect farm data, provide agricultural advice
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experiments; lead experimental campaigns and contribute to operations as needed Shape independent research directions and collaborate to apply ML tools across AWA experiments Document methods and results
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to work on the weekend and/or after normal hours and travel as required. Please note: This position is grant funded; future employment may be contingent upon future funding. Apply! Submitting a cover
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to guide experimental R&D and thus a close connection to experimental efforts will be critical. The candidate will work with both AspenPlus and other process modeling tools. The successful candidate will be
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& computational analysis (choose a combination) Single-cell RNA-seq analysis (e.g., Seurat/Scanpy, QC, integration/batch correction, clustering, annotation) Multimodal integration and/or feature engineering