synthesis prediction, including using QM toolkits (e.g., PSI4, Orca, Gaussian). Experience with data curation and processing from heterogeneous sources; familiarity with tools like ApacheSpark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). More ❯
with toolkits such as BioPython AI Protein Dynamics Integrative structural modelling Experience with data curation and processing from heterogeneous sources; familiarity with tools like ApacheSpark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). More ❯
with toolkits such as BioPython AI Protein Dynamics Integrative structural modelling Experience with data curation and processing from heterogeneous sources; familiarity with tools like ApacheSpark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). More ❯
with toolkits such as BioPython AI Protein Dynamics Integrative structural modelling Experience with data curation and processing from heterogeneous sources; familiarity with tools like ApacheSpark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). More ❯
