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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 7 days ago
analysis workflows. Program and implement statistical methods using R and Python. Design and deliver online teaching materials and training workshops for scientists. Supervise and train PhD students and
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using reporting and data visualization tools such as Tableau and Power BI. * Demonstrated experience with statistical software packages such as R, Python, SPSS, JMP, or SAS. * An equivalent combination
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issues. Proficiency in urban modeling tools such as MATLAB, Python (especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning
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Excel, SPSS, R, Python, or Tableau. Strong attention to detail, analytical thinking, and communication skills. Ability to work independently and collaboratively in a fast-paced environment. Applications
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ends 8/31/2026. Required Qualifications The person applying for this position should be proficient in Excel, Python or MATLAB. Desired Qualifications Training provided. Special Instructions to Applicants
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of Miami. Other potential undergraduate classes include Introduction to Python Programming - a requirement for the Rosenstiel BS - and Climate Change, a general education course. We are also considering
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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results
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such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in R or Python). Excellent written and verbal English skills, strong communication and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 15 days ago
statistical and econometric analysis, and produces tables and figures using statistical programming languages (R, Stata, or Python) Writes memos summarizing methods and results, and contributes to academic
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doctoral degree in epidemiology, biostatistics, bioinformatics, microbiology, or a related field Strong quantitative and statistical skills, with proficiency in R or Python Experience working with