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Computer Science, Artificial Intelligence, Cybersecurity, or related fields Expertise in AI and ML applications for cybersecurity and threat analysis Knowledge of supply chain security challenges and
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science
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shallow seismicity, slow slip, and long-term evolution of plate boundaries. The postholder will advance part of this research programme by conducting laboratory high-temperature rock deformation tests and
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NIH-funded lab with an exciting and evolving research program. Gain hands-on experience in circuit-level analysis of behavior. Collaborate with a vibrant research community at Virginia Tech and beyond
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record of scientific productivity. Previous experience in metabolomics, computational biology, and/or hematology-oncology is strongly preferred. Interested individuals should send a CV, a short summary of
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program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Your role will be to lead a research project
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have a Ph.D. in biology or computational biology. Special Skills, Knowledge, and Abilities: Experience in cell culture, epigenomics/transcriptomics, Western blotting, flow cytometry, and/or cell culture
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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, epigenetics, cardiovascular science, computational biology, or a related field A strong background in chromatin biology, gene regulation, and/ or cardiovascular biology Prior experience with genomics
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, Experience and Qualifications PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular