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engine dynamometer experiments, including instrumentation, data acquisition, and test planning Develop and maintain physics-based modeling tools, including custom solvers written in MATLAB, Python, Fortran
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
languages (e.g., Python, Julia, Matlab) Strong interest in process modeling and simulation, including novel methods and approaches such as neural networks and nonlinear optimization Ability to analyze complex
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Python or Matlab. *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen your application: Experience in nanotechnology
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are self-driven, eager to learn, and possess good analytical problem-solving skills Programming skills in Python or Matlab. You are expected to be somewhat accustomed to teaching, and to demonstrate
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at the university level; Expertise in CFD software (OpenForm, Ansys Fluent) andFEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng
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experience (e.g., Python or MATLAB) Experience with relevant neuroscience research such as EEG Comfort using and troubleshooting technical equipment Excellent interpersonal and organizational skills Modes
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inspection, robotics, photogrammetry, and/or machine learning. Experience with programming with data analysis and/or automation software (e.g. C++, Fortran, Matlab, LabView, Python). Special Requirements
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geography. Experience with marine and coastal modelling tools such as SWASH, SWAN, Delft3D, XBeach and/or SFINCS. Advanced working knowledge of MATLAB and/or Python, and experience with QGIS (with confidence
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one or more programming languages, preferably Matlab or Python, is considered an asset. Demonstrated ability to produce high-quality publications. A desire to help lead an integrative and motivated
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Qualifications (Strongly Preferred but Not Required) Coursework or experience in data analysis, statistics, or programming (e.g., Python, R, MATLAB, SPSS). Students from computer science or closely related fields