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graduate students or interns in computational techniques, reproducible workflows, and best practices in data-driven discovery. Contribute to manuscript preparation, grant proposals, and presentations, with
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cardiac diseases that have not been understood mechanistically in the human context. The development of computational tools to integrate cardioid multi-omics (e.g., scRNAseq) and imaging data analysis in
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the information encoded in our genome to better diagnose, treat, predict and prevent disease. From the individual patient with rare disease, to the many thousands affected by complex, widespread illness, we
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email the following materials to Dr. Dolores Hambardzumyan at Dolores.Hambardzumyan@PennMedicine.upenn.edu Cover letter describing research interests and career goals Curriculum vitae Contact information
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benefits package provided Application Instructions Interested candidates should submit: CV, Brief cover letter describing research interests and experience, Contact information for 2–3 references If you are
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
response to therapies, with applications in brain tumours and neuro-degenerative diseases. Our data comes from large public cohorts as well as local proprietary databases of clinical and preclinical medical
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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analysis of NGS data (ChIP-seq, CUT&Tag, RNA-seq, ATAC-seq) Demonstrated ability in writing scientific reports and papers Proficiency with MS Office, graphic programs (Illustrator, ImageJ), statistical
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of sintered structures Structured storage of research data in the electronic laboratory notebook Preparation of publications, participation in conferences Supervision of students Your qualifications
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influenced corrosion (MIC) in marine environments. It uses AI-supported models, Bayesian data fusion, and real-time sensor data integration. Your responsibilities include: Development of a digital twin (DT