Neuroverkot Jobs

I’m building a unsupervised classifier that learns jointly from audio recordings and accompanying physiological signals. My end-goal is a robust prediction model that can generalise to new subjects, so every modelling choice—from feature pipeline through network architecture and hyper-parameter search—has to be evidence-driven and reproducible. Here is what I already have: raw multichannel wave files, synchronised physiological traces (ECG, EDA and respiration) and a draft protocol for train-test splits. What I still need is the deep-learning firepower to turn this into a working model, coded cleanly in Python with TensorFlow or PyTorch, complete with training scripts, inference wrapper and clear documentation. I’ll share the data dictionary, baseline metrics and ...

I would like to carry out modeling and simulation using MATLAB/Simulink for a system that includes: Implementation of an MPPT strategy for a doubly-fed synchronous wind generator using Backstepping control; Design and implementation of an intelligent MPPT control for the photovoltaic system; Modeling of an energy storage system associated with a resistive load; Connection to the grid and addition of a resistive load; Development of an intelligent system based on a neural network for supervision, energy management, and fault diagnosis. The work will be presented in the form of a report written in Microsoft Word, describing in detail the algorithms used, the analysis of the simulation results, and their interpretation. The final part, dedicated to the intelligent supervision, energy m...

I need a seasoned statistician who can move comfortably between classical regression techniques and modern Convolutional Neural Networks. The project centres on predictive analytics: you will build, compare and explain regression-based models, explore where a CNN adds value, and present the insights through clear, publication-ready visualisations created in Python (think pandas, scikit-learn, TensorFlow/Keras, matplotlib, seaborn or Plotly—use what fits best). We will begin with a brief video call so I can walk you through the dataset, the business question and the success metrics. After that, you will take full ownership of data preparation, model selection, training, validation and visual storytelling. Expect to hand back clean, well-commented notebooks and graphics that a non-tec...