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developments. • Engages in societal interaction and international cooperation in their field. The positions encompass hydroinformatics, fluvial geomorphology, big data analyses and statistics in hydrology, with
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matter physics, quantum physics and statistical mechanics, including their formal tools A high proficiency in spoken and written English. You are expected to learn to communicate your results by writing
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and independently. We also appreciate Experience in high-temperature laboratory experiments. Knowledge of statistical analysis and/or machine learning to interpret experimental data sets. Salary
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languages, preferably Python, C++ or C#, or programming environments (e.g., MATLAB). Knowledge of statistical analysis and/or machine learning to interpret large data sets. Knowledge of metallurgical
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statistical analytical tools such as R, Python, SPSS, or SigmaPlot. Strong interest in experimental studies. Good command of English. Finnish profficiency is considered an asset. Strong communication
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vision approaches for compound identification and quantification, to facilitate material separation and recovery. In SC-entropy project, you will be applying statistical entropy models to quantify
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, geography, or a related field. Prior experience in field sampling, with knowledge of water quality sampling considered advantageous. Proficiency in statistical analytical tools such as R, Python, SPSS
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and theoretical skills in statistics and proficiency R programming Strong experience or interest in big data, preferable, omics data analysis. Fluency in English LanguagesENGLISHLevelExcellent
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candidate to have a PhD degree from a relevant field with skills and experience in image analysis and machine learning. Familiarity with the volumetric microscopy image data and statistical methods
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doctorate in psychology, education, social sciences, or a related discipline. We value statistical skills, the ability to publish scientific articles, and good writing and interaction skills in English. The