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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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Posting Details Position Details Title Postdoctoral - Pediatric Brain Tumors (Tailor Lab) Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Neurological Surgery Campus IU School
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221 of the Labor Code). We process the remaining personal data you provided us with in your application documents (including your PESEL number, image, or other additional data, if you chose to provide
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during
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. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
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. Experience with brain imaging data, large-scale population datasets, longitudinal biomedical modelling, or collaboration with clinical and genetics partners would be desirable. Diversity Committed to equality
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experience in prototyping, optical instrumentation, image processing, or translational device development are particularly encouraged to apply. Required Qualifications: PhD in Engineering, Physical Chemistry
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against undesirable behaviours in Large Language Models (LLMs) and Text-to-Image Diffusion Models (T2Is) towards reliable and responsible human-centred AI systems. NeSyDebates aims to focus on requirements