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PhD Studentship: Hydro-geomorphic Impacts of the Return of the Beaver, Fully-funded MSc by Research.
). The project will be based within the leading beaver research team in England, at the University of Exeter, where beaver research to pioneer our understanding of the return of the beaver has built a strong team
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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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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 8 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