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experience-dependent plasticity. Our research combines structural and functional neuroimaging, EEG/MEG, behavioural methods, computational modelling, automated neuroanatomical phenotyping, machine learning and
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chromosome dynamics. Your future tasks: Research support Molecular cloning and plasmid construction. Genome engineering using CRISPR/Cas technologies. Generation, validation and maintenance of yeast strains
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will contribute broad scientific and technical expertise to projects across the laboratory and help establish, optimize and maintain experimental methods and workflows. An important part of the position
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-impact projects across our core focus areas. We are looking for curious minds who are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https
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connection with uncertainty or data science. Specific fields of interest include, but are not limited to, stochastic partial differential equations, optimal transport, gradient flows, uncertainty
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-efficient and uncertainty-aware modeling, enhanced sampling, and statistical thermodynamics. Research will address property prediction and optimization as well as applications to chemical reactions
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dimensional quantum solids. We dedicate a great part of our research to the growth and spectroscopic analysis of pristine and doped carbon-based molecular structures to unravel their underlying electron
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into the strategic priorities ‘Systems of Life’ and ‘Climate, Environment, Sustainability’ (https://www.univie.ac.at/en/research/strategic-priorities ). University-internal structures and programs, such as the Vienna
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state connectivity, Neuroimaging pipelines (SPM-Toolbox, FSL, Freesurfer, fMRIPrep, CONN-Toolbox) and of structural MRI data is required. Your future tasks: Active participation in research, teaching
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, inorganic chemistry, and nuclear medicine. See also: https://mindt-group.univie.ac.at/ . As part of our diverse team, you will be developing novel, radiometal- and peptide-based radiopharmaceuticals