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. Specifically, your research will provide critical insight for NGGM performance assessment and predictions. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research
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, deposition and transport behaviour. • Wastewater treatment modelling, including aeration energy, sludge production, nutrient removal and AD performance. • MATLAB/Python-based data analysis, multi-source data
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of experience, or equivalent combination of education and experience, is required. Masters or PhD in an earth science field strongly preferred. Programming experience with MATLAB is required; fluency in other
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possess strong quantitative skills (e.g. Matlab, C++, Python). The term of this appointment is one year with the possibility of renewal contingent upon satisfactory performance and continued funding
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an allied field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning
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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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, 3DExperience) Basic programming experience in control systems and process analysis software (e.g., LabVIEW, Matlab, Python) Merits for the position include: Experience in friction stir welding experiments
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different scientific backgrounds. Strong statistical and computer skills including demonstrated proficiency with computer coding, such as MATLAB, R, python, and expertise in statistical modelling. Experience
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. Qualifications and Experience BSc and MSc Degree in Computer Science or Computer Engineering, or relevant field; Strong computer programming skills (e.g., Python, Matlab) are a must; Proven data analysis skills
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Engineering or relevant field; Strong computer programming skills (e.g., C/C++/Java/Python, Matlab) are a must; Strong background in Computational and/or Artificial Intelligence; Usage of Machine Learning and