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Program
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SWAT+gwflow Proven experience in modelling natural and human-induced drought (streamflow and groundwater drought). Proficiency in programming (R, Python, or MATLAB) and GIS tools. Experience in climate
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background in programming and sensor data-acquisition systems Strong programming skills and experience with any of R/MATLAB/Python/C++ Excellent writing and communication skills Working Conditions / Work
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describing: a. Your interest in the position b. The start and end dates for which you would be able to fill this position c. Your familiarity with programing languages (e.g., Stata, SAS, R, Matlab, Python) d
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security. Knowledge of at least one programming language: Matlab, Python, is expected. Eager to work within a team and independently. Ability to collaborate with industry and academic researchers. Fluent in
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with software such as R, Python, MATLAB, or SAS. 3. Climate and Environmental Science Knowledge Understanding of climate change variables (temperature, air pollution, extreme weather) and their health
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pipelines to extract biological signals from noisy data sets using Python, MATLAB, and/or LabVIEW. Collaboration: Work alongside biologists to translate raw sensor data into insights explaining the mechanisms
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includes, for example, the areas of labour markets, wellbeing and welfare, macro-financing, globalisation and econometrics. The position is specifically at the AI-Econ Lab at Örebro University (https
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(e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written and oral
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research potential. Candidates will be considered with background in the areas of hyperbolic PDEs and optimization problems. Expertise in numerical simulations (with Matlab or Python) will be valued
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(semantics/prosody preferred). Experience with neuroimaging (e.g., fMRI) and quantitative analysis. Proficiency in Python/MATLAB or similar tools. Record of peer-reviewed publications and independent research