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-principles and data-driven models), simulation and optimization methods. Programming languages, i.e. Python, Matlab, ... Level of experience evidenced by publications in peer-reviewed journals. Fluent in
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for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R, Python). Demonstrated ability to independently design and conduct experiments, analyze data, and publish results. Excellent written and
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to energy systems or similar applications. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid
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., Python, R) and GIS tools (e.g., QGIS) experience. Excellent communication skills. Strong publication record related to current position
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remote sensing and image analysis for soil fertility mapping. Experience with data fusion techniques and multispectral/hyperspectral data processing. Proficiency in programming languages such as Python
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. Strong technical background in optimization in wireless communications/networking. Experience with programming languages, especially MATLAB and Python. Excellent written and verbal communication skills in
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computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running
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learning; Proficiency in programming languages such as Python and R. Strong experience working with climate and remote sensing datasets for environmental applications. Experience with high-performance
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programming languages (e.g., Python, R). Expertise in molecular biology techniques such as PCR, qPCR, and gene editing. Familiarity with statistical tools and software for GWAS analysis. Contract Details