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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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, construction and evaluation of novel multisensory interaction techniques and systems. Expected start date and duration of employment This is a 24-month position starting from 1 February 2027 or as soon as
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information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities . Salary and terms as agreed between the Danish Ministry of
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the Memorandum on Job Structure for Academic Staff at Danish Universities . Salary and terms as agreed between the Danish Ministry of Taxation and the Confederation of Professional Unions at basic salary steps 4-8
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
quantitative phenotypes, including plaque burden, plaque composition, stenosis metrics, coronary morphology, and related structural features. Conduct large-scale genome-wide association studies (GWAS) of imaging
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have experience of using molecular dynamics and/or density functional theory methods and a proven ability to structure, manage and work with quantitative data. You will be able to evidence designing and
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to characterize the structure and function of plant, insect, and fungal genomes related to pecan cultivar development. Application of sequence resources from plants, pests, and pathogens will be directed towards
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production, storage, consumption, and market interactions. This transition is fundamentally reshaping the structure of energy networks, shifting from centralized control to distributed, prosumer-driven
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industry. In this project, you will develop game-theoretic AI frameworks by integrating Data-driven intelligence with principled decision structure for multi-agent decision making in energy systems. In