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an equivalent field.b) Experience with Python programming Additional Information Benefits Monthly Maintenance Allowance: €1,090.98 Funding Entity: Instituto Superior Técnico (IST) Operational Programme: Compete
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, [email protected] , 609-258-1998 Eligibility To be considered for nomination by Princeton, applicants must: be a U.S. citizen; be a Princeton University senior; be between the ages of 19 and 25; have
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 19 days ago
# Semiconductor processing and ion implantation # Nanofabrication and cleanroom technologies # Optical spectroscopy # Programming and scientific data analysis (e.g. Python, MATLAB) # Strong analytical and problem
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, including recording and preliminary analysis of electrodermal activity (EDA). Develop and modify experimental procedures using Python. Prepare databases and perform statistical analyses using R. Participate
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of software tools for geospatial data management (e.g., QGIS, ArcGIS); - Knowledge of languages and advanced tools for the harmonization and analysis of qualitative and quantitative data (e.g., Python, Matlab
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required experience. - Knowledge of advanced languages and tools for optimization and data analysis (e.g., Python, Matlab, R). - Knowledge of English and basic IT skills (to be assessed during
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, and visualization Familiarity with coding and scripting languages (ex., R or Python) Essential Duties & Responsibilities Consults with researchers on digital scholarship projects, including guidance
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for Statistical Computing and with programming in the Python language. 5. Eligibility:Candidates who meet the requirements of point a) of paragraph 1 of article 2 of the Research Grant Holder Statute, as amended by
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approaches; - Advanced programming skills (Python or equivalent). 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic
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discipline Strong programming skills, with proficiency in Python; experience with scientific computing libraries (NumPy, PyTorch or TensorFlow, scikit-learn, nibabel or similar) Knowledge of MRI acquisition