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Field
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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integrates dynamic “smart” materials into 3D-printed structures, opens new frontiers in both bioelectronics and solar energy harvesting. Our goal is to create adaptive electrode architectures. These advanced
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-XFEL and ESS for advanced materials studies and is host for the 3D imaging center Plasma Physics and Fusion Energy working in international collaborations on realizing non-fossil-based energy
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spectroscopy (important). Experience with building UHV systems. Experience or a desire to learn about quantum device fabrication. Experience in modeling with 3D CAD like autodesk inventor. A strong grasp of
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. Located in Ithaca, NY, the department has state-of-the-art equipment and facilities including studios, labs, two fabrication studios, a design materials library, 3D body scanner and multiple gallery spaces
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from Thermo Fisher Scientific, and timsTOF Ultra 2 and timsTOF HT from Bruker) and for bioimaging (e.g. Abberior facility line STED and MINFLUX, Nikon 3D STORM, and Nikon dual cam SIM). Access
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structural design, 3D printing robots, sensors, safe and efficient human machine interfaces, processing units, and software components into a cyber physical construction system. The result would be
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-research/ ) You have a strong interest in (3D) stem cell culture, microscopy, biosensors, genetics and molecular biology. Prior experience with (iPSC) tissue culture, FLIM microscopy and organoids is a
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will possess a profound understanding of the complex interactions within the tumor microenvironment (TME) that influence drug sensitivity and tumor progression. Candidates with expertise in 3D culture
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into the natural 3D tissue space. This integration will advance the prediction of disease progression and response to specific therapies. Data-driven precision medicine and diagnostics covers data integration