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Field
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. Experience with modelling and simulation tools such as MATLAB/Simulink, Python, or similar is essential, along with good programming skills and the ability to work with complex systems. Strong analytical
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seismic methods, signal processing, and/or wave physics Experience or strong interest in seismic data processing, imaging, and inversion Good programming skills (e.g., Python, MATLAB) and willingness
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or Matlab and data analysis (essential, beyond introductory coursework)- experience with neuroimaging data design/collection/analysis (fMRI, M/EEG) and behavioural data collection and analysis- experience in
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systems would be desirable. Basic programming skills in Matlab or a similar language would be desirable; willingness to learn these skills is essential. How to apply Interested applicants should contact Dr
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, statistics or fluid dynamics Excellent knowledge of statistics Proven knowledge of Python, R, Matlab or a similar programming language Experience with Linux/UNIX environments Excellent oral and written
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experience in Matlab (punctuation: 55) Item 03: Interview. Only those candidates who have obtained an aggregated score higher than 50 points in the previous two items will be interviewed (punctuation: 15
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techniques (punctuation: 20) Item 03: Experience in experiments with lampreys or other basal vertebrate models (punctuation: 15) Item 04: Experience using programming tools (Matlab/Python) for data analysis
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– Knowledge and experience in the application of Ion Beam Analysis techniques; – Knowledge about material analysis; – Experience in programming (i.e. Python, MATLAB, etc.). The following competencies
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programming skills (R, Python or Matlab) Creative thinking Level of enthusiasm and motivation We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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, bioinformatics, computer science, or a related field. Experienced programmer – You are confident in languages such as Python, Matlab or R, and you enjoy building and improving computational pipelines. Proficient