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Field
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types. Familiarity with data preprocessing pipelines for high-throughput omics data (e.g., Nextflow). Strong programming skills in Python (Data and Machine Learning stacks). Experience with version
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for admission to the faculty's Doctoral Programme . Good programming skills in one or several languages (e.g., Python, Julia, MATLAB, Fortran, C++). Competence in mathematical modeling and languages
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Qualifications Education: ABD status by start date. PhD by start date in a field relevant to the research being conducted. PhD after one year of employment. Technical Skills or Knowledge: Proficiency in Python
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Python, Java or C++ Experience updating and maintaining database records Experience documenting research workflows and preparing scientific outputs, including reports, manuscripts, and presentations
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(e.g. Python, R) or a universal programming language (e.g. C#, Java, C++, Rust) Knowledge of the use of relational and non-relational databases Very good English skills (written and spoken) High
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. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
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(ESBMC, CBMC, Z3, or similar) – either academic or practical. • Programming proficiency in C/C++, Python, and familiarity with software verification tool development. • Understanding of ML/NLP fundamentals
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highly recommended. Familiarity with experimental techniques for clean-room fabrication and sensitive electrical measurements is highly recommended; a good command over programming languages such as Python
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they will investigate novel Cloud and Edge techniques that are built based on Java, Python and C++. The particular research topics of interest include• application development platforms• programming models
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 3 days ago
international circulation. International Profile. Be proficient, speaking and writing in English. Technical skills including: experience with Python (Pandas, Numpy, Matplotlib, etc.); experience with popular