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We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training costs and energy requirements of state-of-the-art deep learning models significantly, while...
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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PhD programmes and looking for hands-on research experience on high-impact questions in energy and environmental economics. Key Responsibilities for the role include: Data collection, cleaning, and
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stimulating work environment that promotes individual creativity and effective teamwork with a clear focus on quality output. More in-formation about the group is available at http://pur.wzw.tum.de
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program. There are two positions available: one with a stronger engineering development focus and a second with a stronger focus on the use of the imaging and associated subject demographics to establish
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the...
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Assistant Develop a detailed plan for the biodiversity work package, including specification of the target organism(s), processes and pollutants Develop the methodology for the biodiversity work package of
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motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related discipline to contribute to the “Hereditary & Early onset breast cancer