Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
management (e.g., Slurm) and cloud infrastructure (e.g., OpenStack, OpenShift). Knowledge of sensor electronics, FPGA development (e.g., VHDL), and sensor electronics prototyping. Excellent written and oral
-
developing integrated systems to automate the acquisition and interpretation of neutron scattering data. You will contribute to the development of FPGA tools for real-time processing of live neutron
-
in Very High-Speed Integrated Circuit Hardware Description Language (VHDL). Experience with using Xilinx (AMD) Vivado Design Suite. Experience in field-programmable gate array (FPGA) design, synthesis
-
-level code 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
-
funded ARPA-H project, we have multiple positions available immediately, focusing on developing Silicon-based photonic integrated circuit (PIC) devices for optical coherence tomography (OCT), ophthalmic
-
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
-
by logging into their existing Workday employee account. Position Summary: Florida Atlantic University is seeking an FPGA Engineer - Boca Raton, FL. This position assists university administrators and
-
for Applications: March 13th, 2025, YEAR Closing Date for Applications: April 2nd, 2025, 23h00m (Lisbon Time) Key words: #embeddeddesign #digitaldesignflow #FPGA #mixedsignalanalogdesign Overview The Piteira
-
resonators. To this end, a field programmable gate array (FPGA) is the best option and, if time permits, this task could be part of the summer job. Qualifications: - Experience with Python and Git Meritorious
-
: Experience in real-time simulation hardware like Opal-RT and RTDS. Experience with software development. Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs). Excellent written and oral