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publication track record in international scientific journals Demonstrated experience in ecological or oceanographic data analysis Proficiency in R, Python, Shell script, or MATLAB Experience working with CMIP
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the project’s scope – up to 1 point. c) Knowledge of MATLAB, Python, or equivalent software for the analysis and processing of experimental data – up to 5 points. The curriculum of each candidate will be
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e.g. Python or MATLAB. Knowledge or interest in experiment design, execution and evaluation. Experience with statistics and data-processing methods. Other experience relevant to the third-cycle studies
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
converting wave energy into electricity and programming (in the FORTRAN, MatLab or Python programming languages chosen by the candidate): 40% (score from 1 to 20). Composition of the selection Jury: Sérgio
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knowledge of the control techniques along with an indication of the publications in which they were used) • Advanced programming skills in Python and/or Matlab/Simulink • Previous experience in
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is required. If necessary, the applicant selected for the position will be trained in indoor localization. ? Proficiency in programming languages such as C/C++, Python, and MATLAB is required, along
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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and
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, e.g., the Journal of Fluid Mechanics, Combustion and Flame, Proceedings of the Combustion Institute. Proficient in MATLAB and/or Python. Strong written and oral English language skills. Strong written
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machine learning, deep learning, or data assimilation. Experience with scientific programming (Python, R, MATLAB, etc.) and geospatial tools (ArcGIS, QGIS, GDAL, GeoPandas, etc.). Demonstrated publication