Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
-
at New York University Abu Dhabi seeks to recruit a motivated post-doctoral associate with a strong background in game theory, control systems, and/or learning theory to join the research team of Prof
-
Primary supervisor - Prof Kate Kemsley Join us to research and develop advanced analytical methods for tackling food fraud head-on! Economically motivated adulteration of foods is a significant
-
theoretical research, algorithm design, and the development of software tools that demonstrate the applicability of the new methods. Research environment The positions are hosted by the Department
-
of stroke patients and healthy volunteers. Developing algorithms for identifying and excluding motor unit filters associated to impaired motor units. Integrating real-time-decoded features of motor unit
-
) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
-
Institut national de la recherche scientifique (INRS) | Varennes, Quebec | Canada | about 23 hours ago
. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum
-
have a focus on Quantum Circuits, Quantum Algorithms, and preferably expertise in developing Software for Quantum Machines.The appointment will be for a period of two years, and extensions to longer
-
both the ATLAST telescope and the nearby community of San Pedro de Atacama. The PhD candidate will have the unique opportunity to shape the renewable energy management system by developing novel real
-
computational scientists to develop advanced algorithms and models. Research and validate potential biomarkers associated with breast cancer progression, treatment response, or patient outcomes, using