Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
. In order to address systemic barriers and increase diversity in the Canada Research Chairs Program and meet government-mandated requirements , selection will be limited to candidates who identify as
-
), Machine Learning on Quantum Computers, Security of Quantum Circuits, Design Automation and Tools for Quantum Circuits, Robust and Efficient Mapping of Quantum Algorithms on Quantum Machines, Quantum Noise
-
Engineer/Scientist Associate Experience in the use of data and analytics tooling within Microsoft Azure. Knowledge of machine learning algorithms and data science techniques. Why Arden: At Arden, you will
-
strong foundation in mathematics or computer science Familiarity with Python Interest in algorithmic game theory or machine learning theory. A combination of education and relevant experience from which
-
algorithm design and development of effective computing techniques To see examples of our innovative work please visit: https://www.ecshowcase.com/ What We're Looking For Education and Experience Needed
-
algorithms for organoid characterization Design and execute experiments independently, troubleshoot technical issues, and determine optimal methodologies based on literature and past experience Prepare data
-
fully understand exactly what ?done? looks like before we start the development of a project. Responsibilities* Develop cutting edge machine learning algorithms for various parts of the online system
-
within the assigned region. Assists in the development and implementation of UCHC’s policies and procedures. Participates in UCHC’s continuous quality improvement program. Corrective action plans
-
. Integrate various datasets, such as tree species annotations, climate, and topography, into deep learning algorithms. Test deep learning models (Transformers and CNNs) for optimal accuracy using large
-
units that are funded by the Horizon Europe Programme. The consortium team will develop an advanced Multi-Processor System on Chip prototype in FD-SOI 28nm CMOS technology that tightly integrates