Sort by
Refine Your Search
-
Country
-
Employer
- Aarhus University
- University of Oslo
- Harvard University
- Missouri University of Science and Technology
- Nanyang Technological University
- Center for Drug Evaluation and Research (CDER)
- Oden Institute for Computational Engineering and Sciences
- Simons Foundation/Flatiron Institute
- University of Leeds
- Zintellect
-
Field
-
computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
-
, 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
-
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
-
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
-
computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
-
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
-
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
-
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
-
production, storage, consumption, and market interactions. This transition is fundamentally reshaping the structure of energy networks, shifting from centralized control to distributed, prosumer-driven
-
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