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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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learn new advanced analysis techniques (e.g., in Matlab, R, or Python) if relevant for the task. Write up research results in the form of journal articles. Participate in and co-arrange national and
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and
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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