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that are not seen in any other material. This project combines cutting-edge sampling techniques with machine-learned potentials for accurate phase predictions, offering considerable opportunity for method
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. Resistance to these pronouns is shaped by multiple factors, including cognitive load, familiarity, and speaker attitudes. For example, the pronoun “die” may be more easily integrated in usage due to its
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defects of smectic-liquid crystal order in developing cross-striated muscle, or use machine-learning to expand existing custom-built image analysis pipelines (Python, Matlab). To learn more about this
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institutional recognition, the non-binary pronouns “die” and “hen” remain contested in general usage. Resistance to these pronouns is shaped by multiple factors, including cognitive load, familiarity, and speaker
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disciplines, are well versed in multiple approaches and styles of thought. The goal is for the students to be comfortable communicating across traditional boundaries, especially across the divide between
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at addressing a new class of outstanding PhD researchers from all over the world. Successful candidates will receive multiple doctoral degrees. Course organisation The EDLE programme is carried out with
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this project, there will be multiple opportunities to collaborate with internal and external partners, supervise Master’s students, give oral presentations at conferences, write high-impact journal articles, as
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neuroimaging techniques. You will conduct both neuroimaging and neural network modelling studies to determine whether and how combining information across multiple sensory modalities (vision and touch) may
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dynamic research environment. Strong organizational skills and ability to manage multiple tasks and deadlines effectively. Adaptability and openness to learning new methodologies and techniques. Commitment
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to design. 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