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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months agochallenges in cancer genomics and precision medicine. Specific areas include: 1) Building the Genomics to Knowledge (G2K) agentic AI framework for automated transformation of multi-omics data into biological
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detection, predictive modeling, process optimization, and automated decision support, including real-time and edge deployment Collaborate with multidisciplinary teams to provide sensing, computational, and
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, including quantitative PTM analysis, mass spectrometry method development, data-independent acquisition (DIA) strategies, laboratory automation, and scalable proteomics workflows. Both positions are initially
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researcher to join the Workflow Systems Group and help advance the use of AI in scientific discovery. This position centers on scientific machine learning, automated AI/ML optimization, and high-performance
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, Cergenx Ltd. The aim of the overall project is to develop the Newborn Brain Test (NBT), a novel platform to assess newborn brain activity in infants at birth through an automated AI assessment. INFANT seeks
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administration. This PDA will focus on therapeutic applications of IPSCs and the means for improving their efficacy through process optimization in an automated cell culture platform. Protocols for scalable
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-performance computing, GPU acceleration, automated benchmarking or large-scale numerical workflows. 4. Evidence of self-motivated contributing to collaborative research outputs, open-source software, preprints
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Agriculture (CEA) Engineering Lab as a Postdoctoral Research Associate. The candidate will primarily work in one or more of the following areas: computer vision, AI-driven automation, and/or robotics
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task is to monitor automated quality control of the data products and perform additional tests in the days after the measurement. You report on quality issues and make suggestions for improvement. With a
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(Automated Design of Algorithms) group in the machine learning clusters at LIACS, Leiden University, and supervised by Jan van Rijn and Holger Hoos. You will be working intensely with other project members