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experience with tabular or heterogeneous data, particularly across multiple da-tasets, domains, or tasks Is familiar with mathematical optimization methods, such as mixed-integer linear programming Has
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mechanics, statistical modeling, and linear algebra Preferred Qualifications: Experience with density matrix renormalization group and tensor network algorithm development and application. Competency with
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of Energy (DOE) experimental facilities. This role involves research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high
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postdoctoral research at the International School for Advanced Studies (SISSA) in Italy. His research focuses on mathematical physics and enumerative algebraic geometry. His research group has resolved the BCOV
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can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas
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disordered proteins and short linear motifs; - proximity-based or proteome-wide interaction methods; - biomolecular condensates or multivalent protein assemblies. Website for additional job details https
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, nationals, or permanent residents of the United States or its territories and possessions. Applications must be submitted through the University’s online employment system “USC Jobs” at https://uscjobs.sc.edu
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Are you interested in (re)entering biotech research? This position supports a non-linear career path with a focus on implementing process analytical technology into bioprocesses. Job description
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 16 days ago
function of absorbed dose and radiation quality, including radiation type, linear energy transfer (LET), dose rate, and related conditions. The broader goal is to connect molecular damage to absorbed dose
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skills, including generalized linear models, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and