Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
one or more of the following areas: Large Language Models, Generative Models (AIGC), Natural Language Processing, Computer Vision, or High-Performance Computing. Solid programming skills in Python and
-
the internal computations and circuits within large models. Can we reverse-engineer the "algorithms" that a neural network has learned? Value Alignment & AI Ethics: How do we formally define and embed complex
-
of Researchers (Charter and Code). Please, check out our Recruitment Policy The role The Boke Lab, led by Dr. Elvan Boke, is part of the Quantitative Cell Biology Programme at CRG Barcelona. Our team studies
-
, Azure) Exposure to GPU computing for data analysis Knowledge of AI/ML approaches relevant to omics data Practical understanding of biostatistics and statistical modeling Experience delivering
-
computers and, as a result, many of them remain poorly understood. UItracold atoms trapped in optical lattices provide a pristine realization of the Hubbard model and hold the promise of solving many of its
-
of carbon materials, low-dimensional materials and others Multi-scale computation method development Data-driven experiments AI for materials science Multi-scale modeling for materials manufacturing mechanism
-
As part of the PICs@ICFO Strategic Initiative, ICFO coordinates PIXEurope, a flagship Pilot Line funded under the European Chips JU program. With €400 million in investments and a consortium of 20
-
age of 35. Demonstrating research ethics and a strong dedication to teamwork. What We Offer Siyuan Postdoctoral Incentive Program: The program offers three categories, including domestic cultivation
-
. Data Analysis and Interpretation: Collect and analyze experimental data, interpret results, and draw meaningful conclusions. Utilize statistical toolsand computational modeling techniques to enhance data
-
of the tribometer include the following tasks: Design automated load selection synchronized with mechanical stimulus. Design current and voltage sensing for power generation characterization. Model time response