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Field
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, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm
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our team on our website: https://cosmology.univie.ac.at . As a team, we understand the importance of a positive, inclusive, and respectful working environment, and we regularly exchange ideas about
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analysis, including statistics and machine learning techniques. Proficiency in scientific programming, especially Python and/or Matlab, and experience in shell scripting. Excellent written and oral
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(e.g. Industrial Ecology, Ecological Economics, Geography) Good or excellent programming skills for data analysis (experience in Python or R is preferred) Experience with input-output analysis is
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public events. Independent work as well as collaboration with other members of the project team. Content of the research activity: Spatial analysis in GIS (e.g., in QGIS or Python) aimed at analysing
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, basic familiarity with computational tools / programming (e.g. Python), and good command of English sufficient for reading and understanding scientific literature will be considered an advantage. Specific
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well as data analysis and interpretation. Previous experience in fieldwork, laboratory techniques (chemical analyses), and advanced data analysis will be highly valued. Programming skills in R or Python
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-derived spectral signatures. Analytical workflows will be implemented in Python, R, Matlab and QGIS. Classification outputs will be integrated with ecological and spatial data to evaluate biogeographical
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collective quantum phenomena to reach higher performance or lower dissipation (see, e.g., arXiv:2411.00944 ). Project details are available at: https://warsaw4phd.eu/en/candidates-2/research-projects/ in
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
to financial and economic time series, working with programs such as MATLAB, Python, and C++. The chosen candidate will have the opportunity to take courses and attend seminars at MIT. The ideal candidate will