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Maastricht University as well as with the Nijmegen Institute for Scientist-Practitioners in Addiction (NISPA). You will collaborate with the other members of the ZonMw-funded consortium, which encompasses
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interconnects for next-generation AI compute clusters. Information The smart optical networks lab (SONL) at the Electro-Optics Communication (ECO) group at Eindhoven University of Technology is recruiting for a
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scales using hyperspectral earth observation data. Within the ASCENT project, you will work as a PhD candidate in an interdisciplinary consortium with remote sensers, ecologists, data scientists, and
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At the University of Vienna, more than 10,000 people work together towards answering the big questions of the future. Around 7,500 of them are scientists who, with their curiosity and continuous
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preparation and contributing to grant proposals and scientific dissemination • Collaborating with multidisciplinary stakeholders, including clinicians, biomedical scientists, informaticians, and data
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Classification Title: Research Assistant Scientist Classification Minimum Requirements: Ph.D. in Computer Science, Biomedical Informatics, Data Science, Biomedical Engineering, Electrical
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
, the University of Copenhagen and the MAX IV synchrotron. You will work with an international team of mathematicians, crystallographers and data scientists. The project aims to transform small-molecule structure
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 5 hours ago
advancement along clinician‑scientist, clinician‑educator, or leadership tracks. The Biggs Institute is a flagship, freestanding institute within UTHSA dedicated to outstanding clinical care and transformative
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crystallography, liquid and soft matter interface science, and anomalous small- and wide-angle scattering. The Research Assistant Professor will serve as a Beamline Scientist and will be expected to originate
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, additive manufacturing, and data science. Silicon carbide is widely used in demanding thermal, structural, and electronic applications, yet its production is energy-intensive and relies on global supply