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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Computational Materials Theory (Nickelate Superconductors
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, the candidate should be committed to: doing field work, wet-lab work, learning about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories
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Solid skills in statistical modeling & probability theory Experience in coding (Python, R, Julia, Matlab...) Motivation to work closely with experimental researchers Curiosity about biological systems
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shell programing, and analyzing data using population genetics tools and theories. Apart, the candidate should have good self-organization, be solution-oriented, and have good spoken and written English
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functional theory – a molecular-scale continuum description of inhomogeneous systems – in process design and, therefore, to fuse the scales from molecules to processes. To overcome the computational challenge
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is therefore expect to have experience in at least one of these interdisciplinary areas: 1. Neuroscience and/or VLSI basic device physics. 2. Spike-based computing paradigms: theory and modeling. 3
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related field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy
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deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy infrastructures, or urban energy applications is a strong asset. You are self-driven, creative
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. The Doctoral Program's research foci include literary and cultural theory, the history of literary forms, arts and media, forms of knowledge, and cultural practice. Currently, the Doctoral Program has a
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ramifications in condensed matter theory, machine learning, quantum materials, chemistry, as well as quantum technology. Job description In this role, you will be at the forefront of addressing several