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Field
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processor selection to PCB design, FPGA/MCU implementation, firmware development, hardware debugging, and deployment of signal-processing and machine-learning algorithms. A significant part of the position
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tools Deployment and optimization of machine-learning models on resource-constrained hardware Candidates should also have experience or strong interest in Edge AI, TinyML, embedded machine learning
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tools. Proven experience in digital hardware design using Verilog/SystemVerilog or equivalent HDLs. Sound knowledge of machine learning algorithms and their hardware implementation considerations
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translate AI/machine learning models into working, deployable software for clinical testing and point-of-care use. This role offers a rare opportunity to bridge clinical data science, medical device
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with external instruments, sensors, or automation hardware. Experience with task and motion planning, reinforcement learning, imitation learning, or other machine-learning approaches for robotics
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development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be designed and deployed efficiently on constrained
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Job Description Job Alerts Link Apply now Research Assistant in Quantum Algorithms and Machine Learning University-Level Unit: Centre for Quantum Technologies Faculty/Department-Level Unit
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Job Description Job Alerts Link Apply now Research Assistant in Quantum Algorithms and Machine Learning University-Level Unit: Centre for Quantum Technologies Faculty/Department-Level Unit
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden-Württemberg | Germany | 2 months ago
hardware and software and novel, machine learning-based predictive algorithms. The hardware for the METIS AO system, along with an ELT telescope simulator, has been set up in the MPIA laboratory. The
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applications and algorithms that can leverage associative memories, including machine learning and LLMs, genomics, and classical data science methods (tree models, decision trees, finite automata). We