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Field
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Have you completed your PhD? Are you eager to enrich knowledge on biodiversity as a postdoc? Then Naturalis in Leiden is the place for you. Pursuing a postdoc at Naturalis means working on research
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tissue models and spatial transcriptomics in the laboratory of Professors Ian Sayers and Ian Hall (Biodiscovery Institute, University of Nottingham, UK). In this highly collaborative project involving the
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spatial omics, genetically engineered mouse models and clinically annotated human cohorts to understand the molecular mechanisms driving rare kidney cancers. The successful candidate will benefit from state
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focused on using spatial profiling and machine learning of human specimens in combination with functional experiments in animal models to understand cancer initiation, progression, and metastasis. We
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for extension to 36 months. The Research Fellow will support the development of GIS-based decision-support-tools for spatial planning, and cumulative effects assessment (CEA) of offshore wind (OW). The role will
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insights, and applying appropriate AI models for geospatial analysis based on the integrated data. This role is part of the project: Decision-support-tools for Spatial Planning and Cumulative Effects
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materials. · Generate quantitative measurements of cell proliferation, survival, differentiation, lineage state, spatial organization, and competitive fitness for use in model development and
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heterogeneous data (free text, structured records, images, audio), including locally hosted and fine-tuned large language models computer vision for biological and medical imaging, including three-dimensional
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in