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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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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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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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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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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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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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(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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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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statistical analysis of neuroimaging data. Implement, document, and maintain analysis scripts using Python and/or MATLAB. Integrate cognitive, affective, behavioural, and neuroimaging datasets to test
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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