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analytical and mathematical skills, including proficiency in quantitative modeling, data analysis, and scientific computing (e.g., R, Python). Strong written and verbal communication skills in English. *for
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or Doctoral Degree in Epidemiology or related field. Experience with coding in R (or python), including the use of generative AI tools and best practices for data reproducibility (e.g., tidyverse
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been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning or planning. Experience with ROS2
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to the University of Gdańsk Remuneration Regulations. COMPETITION DEADLINE: February 23, 2026. Keywords: econometric modeling, statistical tools, computational programming (R, Python), BI methods. REQUIREMENTS
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observatories both in space and on the ground. IRSA (http://irsa.ipac.caltech.edu) is the steward of scientific data sets, ancillary data products, and documentation delivered by NASA's Infrared and Sub
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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coding using tools such as Python, SQL, and HTML. Generates system queries and reports under the direction of senior members, determining among appropriate fields and values to use to meet report
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accepted for publication. Expected skills Proficiency in programming (R, Fortran, Python) and the ability to learn new programming languages, develop code, and analyze data. Knowledge of GIS tools and
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using digital learning tools such as R, Python, Stata or Matlab, and has strong data skills. Holds, or will soon complete, a doctorate in a relevant discipline. Desirable qualities include experience