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Field
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with an R&D unit, focused on cross-disciplinary research skills in the areas of food, innovation, and sustainability. Experience in: a) Liquid and solid phase extraction methods for plant metabolites and
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technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques
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FOR THE AWARD OF A RESEARCH FELLOWSHIP Research Fellowship (1 vacancy) CEB-BI-43-2025 A call for applications is now open for the attribution of one research grant within the scope of the R&D project, CIRPOL
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FOR THE AWARD OF A RESEARCH FELLOWSHIP Research Fellowship (1 vacancy) CEB-BI-44-2025 A call for applications is now open for the attribution of one research grant within the scope of the R&D project, CIRPOL
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and/or attending a non-degree course taught by a higher education institution in collaboration with an R&D unit. Experience in image and audio capture (video and photography), video editing (Adobe
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bioinformatics tools for microbiome analysis (QIIME2, Kraken2, MetaPhlAn) and AMR gene identification (MEGARes, CARD, ResFinder). Proficiency in Python, R, or Perl, with experience in Linux/Unix environments
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with transcriptomic analysis tools (e.g., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly desirable. Proficient in Python, R, and ML libraries
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-reviewed publications in high-quality journals. • Proficiency in programming and modelling tools (e.g., R, Python, C/C++, Julia). • Excellent quantitative and analytical skills, with experience handling
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relevant analysis, technical documentation of design, analysis and results, data dashboard design. Familiarity with relevant software packages, including Qualtrics, R and SPSS. Experience with
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, Management Science or closely related field. Experience of designing and performing data analyses. Excellent programming skills in Python or R. Excellent written and verbal communication skills. Demonstrated