Deep Learning & Modeling: This includes training the Conditional Progressive Transformer, performing CSLR pre-training, implementing baseline models (DANN/JAN, TCN/RNN), and generating the synthetic continuous corpus. Required skills are PyTorch or TensorFlow, Transformers, ST-GCN, and 3D CNNs. Computer Vision (CV): This covers multimodal data preprocessing for RGB, Depth, and Skeleton streams, extraction of Non-Manual Features (NMFs), and simulation of occlusions. Required skills are OpenCV, MediaPipe (or similar), and Python programming. Statistics & Analysis: Tasks include computing FID and pose-level MSE for the generated corpus, conducting significance testing, calculating bootstrapped confidence intervals, and performing ablation studies. Required skills are Python or R, SciPy or Statsmodels, and general data analysis. Linguistics: This involves designing gloss sequences and evaluating the linguistic fidelity of the generated sequences. Required skills include statistical language modeling and sequence validation.