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Venturelli Lab The Venturelli Lab at Duke University (www.venturellilab.org) is seeking highly motivated researchers or postdoctoral researchers with expertise in machine learning, deep learning, and/or
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Data understanding Software development of automatic writer/hand identification And will allow you to develop competences in Software management (e.g., Git use) Data preparation to train Deep Learning
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advanced analytical and statistical techniques to extract actionable insights from complex datasets. Train, evaluate, and continuously refine deep learning and machine learning models, prioritising
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) for the Romanian language ● programming skills in Python; knowledge of deep learning, machine learning, scikit-learn, Hugging Face, transformers, and LLMs Specific Requirements ● Collecting human-subject data using
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will involve training deep learning models to compress raw data into structured feature spaces required for downstream surrogate modeling. Qualifications Education and Experience: Undergraduate student
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neurological disorders, novel applications of deep brain stimulation technology to the treatment of neurological and psychiatric disease, the mechanisms of deep brain stimulation and finally motor and reward
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. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell, regulatory, or multimodal biological data. Support target and mechanism prioritization by integrating
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Machine Learning without Centralized Training Data”, https://ai.googleblog.com/2017/04/federated-learning-collaborative.html [2] “Learning with Privacy at Scale”, https://machinelearning.apple.com/research
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Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA DN) COMBINE. The successful candidate will undertake research on: Deep learning for solidification in multiphase flows with radiative heat
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France 91120, France [map ] Subject Areas: Applied Mathematics - statistical learning, deep learning, AI for mathematics, AI for Science Appl Deadline: 2026/03/24 03:59 AM UnitedKingdomTime (posted 2026