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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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will be developed. Finally, the research will develop efficient algorithms and test them on realistic networks and using real data from energy and public transport operators. The Doctoral student is also
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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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to treat MASH, diabetes, and cancer. For more information on Dr. Wendong Huang’s research, please visit here . Qualifications Your qualifications should include: · A Ph.D. or M.D. degree in broad
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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
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strategies in accordance with ISO 19880-9 Independent performance of experiments with gas measurement technology and data collection and analysis using Origin, KNIME, and/or Python Writing project reports in
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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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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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and applying genetic and genomic approaches to biodiversity research. This includes integrating environmental DNA (eDNA) and molecular tools with ecological data to enhance our ability to assess