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, IED, etc to manage real-time data from the edge-level to be used as inputs for AI-models Integrate AI solutions with energy management systems (EMS) to optimize interactions between distributed energy
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(plant) molecular genetics, microscopy, and cell biology are required. Previous experience with model grass species, (plant) signalling, protein biochemistry, or single-cell/spatial transcriptomics is an
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with AI-based and integrative structural modeling, crosslinking mass spectrometry, and cell biology. The lab opens at St. Jude in January 2027, relocating from EMBL Hamburg. Our main focus is mapping
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
research The Chen lab at UNC studies the development, plasticity, and function of astrocytes in the nervous system. Using complementary genetic and imaging approaches in fruit flies and zebrafish model
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integration, where chips are stacked and interconnected to create faster, more compact and more energy-efficient semiconductor devices. However, the detailed mechanisms that determine bonding quality are still
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Experience with machine learning and/or statistical modeling applied to biological data Proven expertise in single-cell data analysis (scRNA-seq and/or scATAC-seq) Interest or experience in multi-modal data
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of Engineering Sciences brings together a large part of the University’s Bachelor of Science in Engineering and Master of Science in Engineering programmes in fields such as energy engineering, mechanical
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, ligand GaMD). ● Experience building and interpreting Markov State Models or comparable approaches for identifying metastable states and conformational transitions. ● Proficiency in Python and
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research on the use of lipid-based carriers and assessing their effects on model and biological cell membranes Selection process Required documents: Curriculum Vitae (CV); Cover letter; Two reference letters
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background in molecular biology and cell biology. Experience working with animal models. Demonstrated scientific curiosity, initiative, and commitment to research excellence. Ability to work independently