Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
opportunities for accelerating genetic gain prior to real-world implementation. This project is delivered in collaboration with Cobb-Vantress Inc. and funded through the Cobb Research Initiative. The successful
-
opportunities via the academic promotions process. About You Possess (or be in the process of obtaining) a PhD or equivalent in plant breeding or genetic mapping or statistical genetics. Demonstrated ability
-
an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
-
programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
-
to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
-
. The tasks of the postdoctoral researcher (innovation) will include: Conduct world-class research in foundational AI, with a focus on applications in the financial sector. Develop innovative algorithms
-
communication techniques and systems: Design and develop novel signal processing algorithms and communication strategies for satellite systems, acquiring essential industry capabilities and skills. Collaborate
-
research on designing mobile energy hubs, energy systems integration, resilience analysis, and developing digital twin models and AI-enabled algorithms. You will conduct lab and field tests, analyse data
-
, where we are at the forefront of researching congenital heart defects and cardiomyopathies in children with rare genetic disorders. About Us: The Jaffré Group specialises in understanding the molecular
-
of major grain and other crop species to improve agricultural productivity and sustainability. The position requires strong expertise in plant quantitative genetics and predictive breeding techniques