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Program
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Field
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in a research environment a plus General languages (preferred): C++, Python, MATLAB CUDA (strongly preferred) Machine learning knowledge. e.g. logistic regression, SVM, neural network models Basic
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pipelines to extract biological signals from noisy data sets using Python, MATLAB, and/or LabVIEW. Collaboration: Work alongside biologists to translate raw sensor data into insights explaining the mechanisms
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project team. Proven programming skills in Matlab and/or Python Motivated to develop your teaching skills and coach students Fluent in spoken and written English (C1 level) Additional Information Benefits A
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experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
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simulation and laboratory testing of marine renewable energy technologies. Competence in data management, statistical analysis, and visualization tools (e.g., MATLAB, R, Python). Knowledge of marine operations
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diverse operating systems; Skills in scientific programming (e.g. Python, MATLAB) and the application of advanced data visualization techniques; Very good command of Polish and English, both written and
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considerable advantage You have strong programming skills, with experience in interfacing with modern control systems being a major plus. Knowledge of Python and/or Matlab is advantageous. Previous experience
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(semantics/prosody preferred). Experience with neuroimaging (e.g., fMRI) and quantitative analysis. Proficiency in Python/MATLAB or similar tools. Record of peer-reviewed publications and independent research
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, globalisation and econometrics. The position is specifically at the AI-Econ Lab at Örebro University (https://www.ai-econlab.com ) – an international and interdisciplinary research lab that focuses
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engineering Machine learning or AI methods (e.g. anomaly detection, classification, regression, time-series modelling) Programming skills (e.g. Python, MATLAB or similar) Experience with industrial systems