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Field
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control of power converters Experience or coursework in device simulation tools (e.g., MATLAB and Ansys) is a plus. Strong interest and willingness to learn experimental techniques for device fabrication
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., MATLAB and Ansys) is a plus. Strong interest and willingness to learn experimental techniques for device fabrication and characterization. Experience with development of experimental setup. Proficiency in
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written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc). The Scientific environment We offer creative and stimulating working conditions in a dynamic and
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development in power electronics would be desired. Scientific publications will be merited. Experience with programming tools (e.g., Python, Matlab, C/C++) will be merited. Norwegian, Swedish, or Danish
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Python, Matlab, and R, and good UNIX knowledge are essential skills, as well as familiarity with biological omics data analysis techniques. Admission Regulations for Doctoral Studies at Stockholm
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also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab. A desire to engage in cross-disciplinary research
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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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science and machine learning Knowledge with Python or Matlab. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR
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-varying signals (e.g., acoustic signals, movement tracking). Coding experience (e.g, MATLAB or Python). Intrinsic motivation to conduct research in the topic of the project. Committed to working
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, preferably Reinforcement Learning (e.g., Q-learning, Deep Q-Networks) or other control algorithms. Proficiency in Python, MATLAB, or similar for data analysis, modeling, or AI implementation. Strong written