Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
-
and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The Machines in Motion laboratory conducts research in planning, control and
-
learning. The employment is full-time for two years starting from August 1st 2025 or by agreement. Apply latest April 7th 2025. Project description Geometric deep learning refers to the study of machine
-
National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 24 days ago
machine-learning applications for astrobiology. Areas of investigation include: - Living systems detection and characterization - Mars sample return science and tools. - Standards of evidence in life
-
for cognitive dysfunction. We have consistently identified sex differences in these data. The objective of this research is to identify new targets for improved therapeutic interventions. Trainees who join Dr
-
of machine-learning algorithms for unmanned aerial vehicles; dissemination of the results in international conferences and journals; proposal writing for external funds. Your profile The successful candidate
-
We are seeking a full-time Postdoctoral Research Assistant in Machine Learning and Power Systems to join the Energy and Power Group at the Department of Engineering Science (Osney). The post is
-
application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
-
bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
-
machine learning, particularly for multi-variable simulations. • Knowledge of complex systems modeling applied to urban dynamics. • Publications in scientific journals. Personal and Organizational