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ML models and Python programming. Work Objectives: The main objective of this position is to develop, implement, and validate advanced machine learning methodologies within the scope of the project
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(Bioconductor), MATLAB (Biologia computacional), Python (ex. pyCOBRA, pyMEW) e Bioiformatica para pesquisa em bases de dados. - Integração multiomica (ex. HPLC, GCMS)). - Agricultura de precisão. -Precision and
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nodes supporting custom devices fabricated at INL; Automate design tasks using scripting languages (e.g., Python, Tcl, Bash) to improve productivity and consistency; Integrate and validate open-source
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possible renewals, an accumulated period of 3 (three) years in this type of scholarship, consecutive or interpolated. Proven knowledge in: Data Science (Python) Machine Learning (Python) Remote Sensing
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commitment and initiative. Specific Requirements -More than 3 years of experience in Complex Systems, Data Sciences or related fields. -Experience in software developing using Python, Networkx and similar
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ultrafast laser systems for time-resolved optical measurements and material characterisation; Experience with finite element analysis. Other Valued Skills Experience with data analysis using Matlab, Python
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prototyping tools to accelerate system development and optimization (e.g., 3D printing, laser-cutting, CNC machining); Programming skills in a variety of languages (e.g., MATLAB, Python, Arduino) is highly
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record, the candidates' academic performance will be assessed according to the following weights and criteria: - Quality of the Curriculum: Proven programming skills: Matlab, Unix, Python (30%), Relevant
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%. B2: Knowledge of learning and knowledge extraction, weighted at 30%. B3: Knowledge of Artificial Intelligence and Machine Learning, weighted at 20%. B4: Knowledge with Python, weighted at 20