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Field
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simulation approaches capable of treating systems containing millions of atomic orbitals. These methods are particularly suited to structurally disordered, amorphous and low-dimensional materials for which
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modeling and analysis. Ability to select, implement, diagnose, and adapt parameter-estimation or statistical-inference methods to suit the model, data structure, and scientific question. Experience with
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funded studies. The role operates within established analytic governance structures and collaborates with faculty and statistical teams to advance peer-reviewed publications. This position does not involve
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focused on the discovery of crystalline inorganic materials that have fundamentally new structures. The successful candidate will join the ERC Advanced Grant project, MaterED (Materials Discovery: from
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). The successful candidate will lead theoretical and computational activities concerned with the structure-property relationships that control electrical transport and thermal transport in organic semiconductors
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Position Highlights The Department of Molecular & Cellular Biology at the University of Arizona is dedicated to understanding the fundamental structures of life, exploring how biological molecules function
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with AI-based and integrative structural modeling, crosslinking mass spectrometry, and cell biology. The lab opens at St. Jude in January 2027, relocating from EMBL Hamburg. Our main focus is mapping
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Additive Friction Stir Deposition (AFSD), cold spray, and laser powder bed fusion (LPBF), with an emphasis on establishing process–structure–property relationships through integrated experimental and
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of coherent, multidimensional, and ultrafast spectroscopy, including the design, construction, and maintenance of associated optical, laser, and microscopy instrumentation. ● Collect and analyze data
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engineering, or a closely related field, in hand by the date of appointment. ● Research experience performing first-principles electronic structure or density functional theory calculations using