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methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project
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, enzyme assays, and cell culture is preferred but not required. Certifications/Licenses Required Knowledge, Skills, and Abilities Candidates must be able to: Demonstrate a solid training background in
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in AI for genomics (e.g., generative models, transformers, genomic language models, agentic AI) and related areas of statistics (e.g., uncertainty quantification for machine learning and AI). Apply
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trials and deep learning-based modeling of multimodal biomedical data. We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics
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assistants and laboratory technical personnel who will aid in performing multiple complex experiments. Qualifications Required Qualifications: PhD in cell biology Preferred Qualifications: Animal handling
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assistants and laboratory technical personnel who will aid in performing multiple complex experiments. Qualifications Required Qualifications: PhD with qualifications in Cell biology Preferred Qualifications
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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 agomechanism-driven AI and agentic AI frameworks (iGenSig-AI, G2K) that integrate biological knowledge with cutting-edge machine learning to transform omics data into actionable therapeutic insights
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, as you’ll be working in an internationally diverse community and with international partners. Ability to learn independently and passion for research Team player, open to discussion and constructive
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used for biochemical studies including Western blots, RNA-Sequencing, lipid analysis, qRT-PCR, and biochemical assays. Additional projects may include RPE cell cultures and human donor tissues. It is
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us