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Field
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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
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applications spanning computer communication, neuromorphic computing, synchrotron and particle physics, medical physics, embedded FPGA design and more. The university and the institute aim to significantly
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, single-atom catalysts), analytical instrumentation (including electronics and LabVIEW FPGA programming), finite element modelling using COMSOL Multiphysics, and in-situ/operando spectroscopy, among other
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required. Candidates should possess skills in handling delicate samples. Experience of working in spectroscopy instrumentation is desirable, as well as experience in programming FPGA to implement PID
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education and/or experience in one or more of the following: Experience with FPGAs, Microelectronics, Machine Learning, and/or Software Development using languages like C/C++, Java, and Python Application
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serverless computing, data center networks, programmable networks, and FPGA acceleration. Where to apply E-mail lin.wang@uni-paderborn.de Requirements Research FieldComputer scienceEducation LevelMaster Degree
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findings at conferences and workshops Desirable Experience working in a multidisciplinary team Experience with embedded electronics such as dedicated computing hardware (e.g., NVIDIA Jetson and FPGAs
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requires strong technical skills in Python, R, machine learning models, cloud computing, edge computing, and FPGA. Additionally, you will contribute to the AI Centre by designing new AI subjects, supporting
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the research, focusing on both component-level solutions and algorithm optimization. The chosen solution will typically be implemented on a microprocessor platform, with the possibility of using FPGA
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-on experience in one or more of the following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high