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electronic structure calculations, in particular DFT, as well as basic knowledge of group-theory, are essential. Familiarity with data mining and/ or high-throughput DFT calculations is desirable but not
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of mathematical areas. The position will be placed at the Department of Computer Vision and Machine Learning (CVML) at the Mathematics Centre (https://maths.lu.se/). Mathematics Centre is a department
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synthesis (primarily powder-based bulk synthesis) and realize 2D materials through selective etching. The materials will be characterized with respect to structure and composition (XRD, SEM, EDX, XPS, TEM
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Genetics at the Swedish Museum of Natural History is offering a two-year Postdoc position focused on theory of adaptive radiation. Work tasks We will focus on building spatially explicit and trait-based
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purification. The postdoc will perform theoretical simulations of 3D/2D materials by primarily Density Functional theory (DFT), for identification of ground state crystal structure, composition and properties
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-developing climate storylines that explore future imaginaries of justice, adaptation, and policy response - grounded in empirical research with immobile, structurally excluded, and other diverse communities
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theoretical electronic structure and magnetism Experienced in handling ab initio electronic structure methods (DFT and beyond) and spin dynamics codes Excellent programming skills (e.g., Python, C++ or Fortran
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expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in automated theorem provers and recently