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, or a closely related field. Strong programming and system integration skills in languages and platforms relevant to embedded systems (e.g., C/C++, Python, real-time operating systems). Research
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(particularly in C/C++ and Python) Ability to work independently as part of an agile team, with a strong sense of responsibility Willingness to engage in application-oriented R&D, by closely interacting with
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; Synopsys or Mentor Graphics. Strong programming skills: Python and C/C++. Experience in hardware accelerators, in-memory processing, or SoC integration. Strong analytical and problem-solving skills, with
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Experience with VLSI design (Cadence tools, Verilog/VHDL, SPICE) Knowledge of neural networks and neuromorphic systems is a strong advantage Good programming skills (e.g., Python, MATLAB) and interest in
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-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering
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Python programming skills Possess a foundational knowledge of physiology and anatomy Be familiar with basic medical sensing technologies Have experience with basic soldering and electronics Demonstrate a
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) Bayesian machine learning Robotics Control systems Programming skills (Python, C++) and ML libraries (PyTorch, Tensorflow) Preferably, the candidates have experience with: Computer vision Experimental design
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at least one programming language (preferably Python) and experience with AI applications in manufacturing are expected. A motivated, collaborative person who is able to work in an international and
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of the following topics: Analog signal processing and circuitry Programming skills (particularly in C++, Python and ROS) Algorithms (statistical analysis) Electrode-tissue interface modeling Robotics (e.g