Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
in Lithuania ranked as the nation’s leading institution in research and high education. Today VU integrates deep academic traditions, wide scale of research together with a forward-looking vision via
-
Assistant Director, Baylor Synthesis & Drug-Lead Discovery Laboratory & Associate Research Professor
Learn more about Baylor and our strategic vision, Baylor in Deeds . Also, explore our great hometown of Waco and the many opportunities to engage locally. If you are new to Central Texas, This is
-
of this postdoctoral position falls within the scope of the ANR project 4DPlants (https://4dplants.icube.unistra.fr/ ) funded by the French Ministry of Higher Education and Research, which involves
-
George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 2 months ago
Research, 2024, 52(12):1-19. https://doi.org/10.1177/03000605241302304 Masumshah, R., Eslahchi, C. DPSP: a multimodal deep learning framework for polypharmacy side effects prediction, Bioinformatics
-
that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a
-
future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
-
also has significant laboratory, field and computational infrastructure which are critical for our research. The staff consists of 40 professors and associate professors, in addition to postdoctoral
-
systems capable of understanding, learning, and acting in complex, dynamic settings. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation
-
capable of understanding, learning, and acting in complex, dynamic settings. The lab’s work lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied
-
. Training LLMs, large-scale deep learning systems, and/or large foundation models using GPU/TPU parallelization while setting up the environment/system network under various constraints, such as limited