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Science; Have knowledge of SQL, Python, ArcGIS, Power BI, Java, and SAS. Work plan and goals to achieve The work focuses on developing an Integrated Analytical Platform for Territorial Intelligence – Smart
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degree classification (20%); Proven experience in programming for Machine Learning in Python (20%); Proven experience in training and testing large language models in high-performance computing
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field. priority will be given to candidates with: skills in programming languages and/or tools, such as python, c++, and/or matlab; basic knowledge of artificial intelligence techniques; knowledge
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Qualifications • Master's degree in Bioinformatics, Data Science or related fields. Skills and Preferred Factors Proficiency in programming languages applied to data science (e.g., R, Python, and Bash, among
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utilizing modern programming tools and languages tailored to the project's requirements (e.g., Python, JavaScript, Django, among others). The activities may also include testing and validation on both
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FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento | Portugal | 2 months ago
for chemical or related applications; Proficiency in Python programming (TensorFlow, PyTorch, Scikit-learn). ¹ Degrees awarded by foreign institutions must be officially recognized by a Portuguese institution in
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applied to data science (e.g., R, Python, Bash, and SQL, among others) for processing, statistical analysis, and workflow automation. Practical experience in the processing, analysis, and visualization
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Experience & Adaptive Connectivity for Cooperative Mobility". Scientific Area: Networks and Services Group: Networked Systems – Po Work Objectives: - Development of a Python application for anomaly detection
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
must also: Have very good English written and oral skills. Have very good programming skills in programming languages such as Python, JavaScript. Have previous research experience. Particularly in
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scientific programming, preferably in Python, for processing, analyzing, and visualizing experimental data; 6) Experience in curating, harmonizing, and managing experimental databases; 7) Experience in