How do you turn complex data into a compelling story? Our Doctoral Candidates explored this in our latest course, Writing in Science. Guided by two of our own supervisors, the DCs practiced writing research papers, mastering grant applications, and tailoring their work for the public. The session combined expert insights with interactive, hands-on exercises to help our researchers sharpen their pens for every audience.
The IN-DEEP consortium gathered for the Scientific Review meeting held on January 27, 2026 to discuss key advancements in the project.
The IN-DEEP consortium gathered for the Scientific Review meeting held on January 28, 2025 to discuss key advancements in the project.
Day 1 - Welcome & Scientific presentations.
Day 2 - Scientific presentations.
Day 3 - Deep PDE solvers implementation (technical course).
Day 4 - Research methodology and tools (transversal skills course).
Day 5 - Communication, dissemination, and transfer of knowledge.
Day 1 - Welcome & Scientific presentations.
Day 2 - Scientific presentations.
Day 3 - Physics-aware & mathematics-infused DL for PDEs (technical course).
Day 4 - Communication and public speaking (transversal skills course).
Day 5 - Communication, dissemination, and transfer of knowledge.
Day 1 - Welcome & Scientific presentations.
Day 2 - Scientific presentations.
Day 3 - Mathematical modeling and benchmark problems in health applications (technical course).
Day 4 -Introduction to research funding. Research Programmes (transversal skills course).
Day 5 - Communication, dissemination, and transfer of knowledge.
Day 1 - Welcome & Scientific presentations.
Day 2 - Scientific presentations.
Day 3 - AI tools for green energy technologies (technical course).
Day 4 - My Ph.D., what next? (transversal skills course).
Day 5 - Communication, dissemination, and transfer of knowledge.
Topics: Supervised vs. unsupervised learning in deep PDE solvers. Synthetic datasets in inverse problems. Challenges in experimental datasets for industrial inverse problems.
Practical training: Data sampling in TensorFlow for a simple PDE model.
Courses: Research articles. Effective grant proposals. Writing about sciences for a general audience.
Practical training: Improve your own work-in-progress paper. Grant proposal case study: HORIZON-MSCA-2022-DN-01-01. Turn your research paper and findings into a blog post.
Topics: Explainable AI: concepts and taxonomies. Explainability in deep neural networks. Application to geophysics, healthcare, and urban traffic forecasting.
Topics: Sources of financing. EU funds and regulations on intellectual property for entrepreneurs. Strategic innovation. Prospect theory. Customer value proposition. Inspirational success stories (and the lessons learned).
Practical tutorial: Assess the industry trends in AI. Identify an opportunity for creating a tech business. Draft a start-up business plan.