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packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART). You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro) You have experience with Python, C/C++, or low-level
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-mechanical coupling. Understanding of wellbore and casing behavior under thermal load. Desired skills: Finite Element Analysis software: Abaqus, COMSOL Multiphysics, or ANSYS Python (for data analysis
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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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Experience with programming (for example Python), including the use of machine learning or any other AI technique Good oral and written presentation skills in Norwegian Personal characteristics To complete a
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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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, 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
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, sociological...) to measuring beliefs, attitudes, and their relationship with shaping (online) behavior is desirable. Familiarity with data analysis in R or Python is required. Experience in study handling
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) applications in the power grid. • Experience with power system modeling, simulation, dynamics and/or optimization, phasor and electromagnetic transient (EMT)-based modeling, and Python and/or Matlab
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, chemistry, material science, chemical engineering or related disciplines Experience in the field of energy storage Knowledge of X-ray methods Experience with programming languages (ideally Python) Fluent in
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, chemistry, material science, chemical engineering, or related disciplines Knowledge of X-ray methods Experience in the field of energy storage Experience with programming languages (ideally Python) Fluent in