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Field
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-driven, quantitative analysis. The laboratory integrates large-scale methods such as transcriptomics, proteomics, metabolomics, and network biology to understand how viruses reshape host cell systems on a
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facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in
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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber
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practical experience of state-of-the-art molecular biology techniques and data analysis. In particular expertise in the following is essential : Genome editing, Epigenome editing, Off-target analysis, CRISPR
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Infrastructure? No Offer Description The selected candidate will lead the metabolic modeling efforts within our Biotechnology pillar. The primary goal is to use computational modeling and network analysis
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), Multilayer Perceptron (MLP), Autoencoders, Convolutional Neural Networks (CNNs), and Kolmogorov–Arnold Networks (KANs). Desirable knowledge of Gradient Boosting models such as HistGBM, LightGBM, and XGBoost
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synthesis. · Experience in LC-MS and LC-MS/MS analysis · Experiences in SDS or fluorescence gel electrophoresis, tryptic digestion and any other proteomic technique. We offer · A full-time contract for three
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Postdoctoral Associate to lead a multidisciplinary project focused on two primary tasks: Developing a simplified version of the Cornell Net Carbohydrate and Protein System that can use feed ingredients
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new insights into the phenomena observed and enrich the databases required for deep learning methods. The neural networks currently being developed at LISTIC to detect and segment areas of movement in
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, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers and industry. Work duties: The project focuses