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two-dimensional materials by gate-tunable scanning tunneling microscopy (STM). Typical examples of these materials include van der Waals monolayers of transition metal dichalcogenide superconductors
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by integrating computational mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns
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, the candidate should have experience in several of the following topics. Experimental skills in microstructural analysis Experimental skills in mechanical testing (destructive or nondestructive) Computational
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characterization techniques (spectrum analysis, power measurements, linewidth analysis) Knowledge of semiconductor laser physics (thermal effects, carrier dynamics) Experience with mask layout design Knowledge
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. Design, test, and document computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and
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computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and interactive prototypes for scenario
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cellulose-based textiles. Your role and goals The doctoral researcher will be working in a project investigating metal cation coordination with cellulose for fiber functionalization The aim for the doctoral
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on lignocellulose, ranging from nanomaterials to novel cellulose-based textiles. Your role and goals The doctoral researcher will be working in a project investigating metal cation coordination with cellulose
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social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences stress, anxiety
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mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data