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are welcome. Demonstrated proficiency in data management, data harmonization, and advanced data analysis techniques. Strong programming skills in Python, R, and/or similar software. Experience working with
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criteria Experience with programming or scripting (e.g., Python, R, SQL) for spatial analysis or modelling Experience with participatory planning tools or civic technology platforms A strong record of peer
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Excellent publication track record on top tier conferences/journals Proficiency in programming language Python Excellent verbal and written communication skills We regret to inform that only shortlisted
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placing the results in a relevant clinical context that you have good programming skills in Python (PyTorch/TensorFlow) and are proficient in programming in Linux/shell that you are familiar with common
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knowledge in modeling light propagation in non-Hermitian random media. Proficiency in programming languages such as Matlab, Mathematica, or Python. Proficiency in using electromagnetic simulation software
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, Physics, Computer Science, or a related field. Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, machine learning force field simulations). Proficiency in Python
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bioinformatics tools for microbiome analysis (QIIME2, Kraken2, MetaPhlAn) and AMR gene identification (MEGARes, CARD, ResFinder). Proficiency in Python, R, or Perl, with experience in Linux/Unix environments
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-beam spectrometers Extensive programming experience in C++ and/or Python High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques
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-reviewed publications in high-quality journals. • Proficiency in programming and modelling tools (e.g., R, Python, C/C++, Julia). • Excellent quantitative and analytical skills, with experience handling
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, Biostatistics, or related fields Extensive experience with spatiotemporal models Exceptional programming proficiency in languages such as R or Python. Previous experience analyzing ecological or similar data