May 15
AWS
Azure
Cloud
Docker
Google Cloud Platform
Hadoop
JavaScript
Keras
Kubernetes
NoSQL
Python
PyTorch
Spark
SQL
Tableau
Tensorflow
• Developing AI models to extract knowledge graphs from scientific texts • Predicting hidden links between entities in scientific data • Associating knowledge graphs with articles to enhance user searches
• Strong proficiency in Python and R • Mistral, SpaCy and BERT, cyBERT, FAISS, SpaCy LLM • Deep understanding of machine learning, including frameworks like TensorFlow, Keras, and PyTorch. • Expertise in natural language processing (NLP) and data analysis. • Experience with data visualization tools like Tableau and PowerBI. • Familiarity with big data technologies such as Hadoop and Spark. • Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). • Experience with SQL and NoSQL databases. • Understanding of web technologies (HTML, CSS, JavaScript). • Excellent project management and team leadership skills. • Preferred: • Background in scientific research data management. • Experience with blockchain technology and cryptocurrencies. • Experience with HELib, Microsoft SEAL, PALISADE, OpenFHE, TFHE, HEAAN, Λ ○ λ, lattigo
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