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., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical
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: Integrate uncertainty estimation (ensembles or evidential methods) to prioritise new calculations and improve data efficiency. Integration: Export learned Hamiltonians to downstream simulation tools for band
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in possession of the doctor's degree at the time of the formalization of the contract. Additional comments Duration of the contract of employment: 12 months, renewable up to 31.12.2026. The candidate
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broad experience in the development of electronic structure methods and their application in order to perform atomistic simulations of molecules and materials. These include (but are not restricted
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biological datasets (e.g., next-generation sequencing, proteomics, imaging data). A solid understanding of statistics and data analysis methods. Ability to work independently and take initiative and solve
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antiparasitic compound YAT2150 and its derivatives. The contract will be within the framework of one of the research lines of the Nanomalaria Group, whose objective is the development of highly sensitive methods
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characterization techniques. · Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods. Proven experience in designing and conducting in-situ TEM experiments. Familiarity with energy
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experience to these contracts. Experience in transmission spectroscopy studies, from ground or space, at low and high spectral resolution Experience in the application of machine learning methods
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: Derivation of star formation histories of the Milky Way bulge and inner disk Reddening map derivation Statistical methods of star formation history and age derivation Postdoc 3: Theoretical research on galaxy
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and 2D materials, and oxides. Fabrication of functionalized Pb-free MHPs by solution processing methods. Fabrication of complete Pb-free MHPs solar cells and memristors (TFTs). Stability analysis