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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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analysis software (e.g., SPSS, R, NVivo) is highly desirable. · Publication Record: Evidence of scholarly productivity, including publications in peer-reviewed journals. · Communication Skills: Strong
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, particularly in data analysis Experience with statistical analysis (e.g., SPSS, MATLAB) and programming (e.g., R, MATLAB, Python) Experience with fMRI data collection and analysis (e.g., FSL, SPM) Required
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due to climate change, as well as reservoirs, teleconnections, tipping points and fluxes of energy, water and carbon, while predicting future change. The CCI also addresses the R&D required to support
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, multiscale modeling, optimization, topological/geometric data analysis, among others. • Strong programming skills and experience (e.g., Python, R). • (Preferred) Interdisciplinary research experience with
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
generation, gene/genome reconstruction, prediction of phylogenetic domains of DNA sequences and genes, molecular feature classification, and protein clustering based on structure and function. Skills in R
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, or a closely related field. Proficiency in analysing large climate and environmental datasets using statistical or programming tools (e.g., Python, R, MATLAB). Capability of both managing research
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coding environments (e.g., R, Python). Ability to work collaboratively with a team of diverse backgrounds. Excellent written and verbal communication skills. Experience in processing large data sets
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immediately after the deadline. Short-listed candidates will be invited for interviews within two months of the deadline. The Faculty Recruitment Policy (OTM-R) can be seen here . Faculty of Science, Masaryk
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diverse soil and management conditions - Excellent technical knowledge of nitrogen dynamics and loss pathways in crop production - Proficiency in GIS and remote sensing workflows, using tools like QGIS, R