Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Research Group at Newcastle University with next-generation Field Programmable Gate Array (FPGA) hardware technologies i.e. OpenFPGA. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years
-
the following topics: 1)Topic 1 Digital control of DC/DC converters This topic will be hosted in the Power Management and Distribution section in the TEC-EP Division. An FPGA will be used to design a control
-
Programmable Gate Array (FPGA) hardware technologies i.e. OpenFPGA. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Sponsor EPSRC Supervisors Tousif Rahman Rishad Shafik Alex Yakovlev
-
interface that leverages a biomimetic muscle-stretch feedback model implemented on a low-power, real-time FPGA-based system. If you are eager to combine fundamental sensorimotor research with advanced
-
and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures
-
Specific Integrated Circuits (ASIC), Processors (CPU, GPU, VPU and accelerators), Field Programmable Gate Arrays (FPGA) and System-on-Chips (SoCs), as well as Intellectual Property (IP) Core developments for
-
systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most difficult software
-
. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York
-
Hardware Engineer in the Data Acquisition Hardware Group who will use your skills architecting, constructing and programming data acquisition hardware systems composed of field programmable gate array (FPGA
-
for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York University Abu Dhabi) is developing a new