Science rewards people who can compute
Today, breakthroughs in physics, engineering, chemistry, AI, climate science, and computational biology depend on one thing:
The ability to work efficiently with computers.
Yet many students and researchers are never properly taught:
- how to use Linux productively,
- how numerical simulations actually run,
- how scientific code manages memory,
- or how professionals write reproducible scientific documents.
As a result, talented people waste weeks fighting:
- broken simulations,
- segmentation faults,
- messy data processing,
- slow workflows,
- and thesis formatting problems.
I created these trainings to solve that problem.
I’m Dr. Hervé Tajouo Tela, a researcher at the Scuola Normale Superiore working in scientific computing, molecular physics, and high-performance numerical simulations.
My approach is simple:
You learn by doing.
No endless slides.
No passive lectures.
No “copy this without understanding.”
Every session is practical, interactive, and adapted to your real goals.
What You Can Learn
🐧 Linux Command Line for Scientists & Engineers
Most supercomputers, clusters, cloud platforms, and research servers run Linux.
If you can use the terminal confidently, you immediately become faster and more independent.
You will learn how to:
- Navigate and manage files efficiently
- Use
grep,sed, andawkfor real data processing - Automate repetitive tasks with Bash scripting
- Run simulations from the command line
- Manage permissions, processes, and pipelines
- Plot scientific data instantly with Gnuplot
- Work remotely on servers and HPC systems
After the training, you will:
✔ save hours of repetitive work
✔ process data faster
✔ become comfortable on research servers
✔ automate tasks instead of repeating them manually
🚀 Fortran Programming for High-Performance Computing
Fortran remains one of the most powerful languages in scientific computing.
It is still heavily used in:
- computational physics,
- climate modeling,
- fluid dynamics,
- quantum chemistry,
- astrophysics,
- and HPC research.
You will learn:
- How compilation and linking work
- Memory allocation (static vs dynamic)
- Arrays and numerical computation
- Efficient scientific file I/O
- Debugging segmentation faults
- Writing reliable simulation code
- Building modular scientific programs
Why this matters
Many students can “run” code without understanding:
- memory,
- performance,
- or numerical efficiency.
That becomes a major limitation in research.
This training helps you understand what your program is really doing.
No more mysterious crashes. No more copying code blindly.
✍️ LaTeX for Professional Scientific Writing
Serious scientific writing requires professional tools.
LaTeX is the global standard for:
- theses,
- journal articles,
- reports,
- presentations,
- and mathematical writing.
You will learn:
- How to structure scientific documents cleanly
- Mathematical typesetting
- Bibliographies and citations
- Figures, tables, and references
- Thesis formatting
- Beamer presentations
- Reproducible writing workflows
Result:
Your documents will look professional, organized, and publication-ready.
Stop fighting formatting. Focus on science.
Why Students Choose This Training
✅ Personalized teaching
Sessions are adapted to your level and goals.
✅ Practical exercises
You work on real examples — not artificial toy problems.
✅ Research-oriented approach
Learn the exact tools used in modern scientific research.
✅ Affordable worldwide
Prices are flexible and student-friendly.
✅ Small groups or individual coaching
You receive real attention and feedback.
Who Is This For?
This training is ideal for:
- BSc and MSc students
- PhD students
- Teaching assistants
- Researchers
- Lecturers
- Engineers
- Self-taught programmers who want stronger foundations
👩🔬 Women are especially encouraged to apply.
Science becomes stronger when more voices participate.
How the Training Works
Step 1 — Contact Me
Send a short email including:
- your background,
- what you want to learn,
- your current level,
- your time zone,
- and your preferred schedule.
Step 2 — Free Introductory Call
We arrange a free 15-minute online discussion to:
- understand your goals,
- evaluate your level,
- and design the best learning plan.
Step 3 — Flexible Training Plan
We agree on:
- schedule,
- session duration,
- and affordable pricing.
Step 4 — Start Learning
Sessions are conducted online via:
- Zoom,
- Google Meet,
- or similar platforms.
You can learn from anywhere in the world.
Example Training Packages
| Package | Duration | Focus |
|---|---|---|
| Linux Essentials | 2 × 2.5h | Bash, AWK, Gnuplot, text processing |
| Fortran Fundamentals | 2 × 2.5h | Compilation, arrays, memory, I/O |
| Linux + Fortran Workflow | 4 × 2.5h | Scientific workflow from terminal to simulation |
| LaTeX Thesis Writing | 2 × 2h | Structure, equations, bibliography |
| Complete Scientific Computing Stack | 6–8 sessions | Linux + Fortran + LaTeX |
All packages are customizable.
What Learners Commonly Say
“I finally understood why my Fortran code was crashing.”
“The Linux training completely changed how I process data.”
“The sessions were practical, clear, and directly useful for my research.”
“I became much more independent on HPC systems.”
Learn Skills That Will Serve You for Years
Programming languages change.
Scientific tools evolve.
But the foundations of scientific computing remain valuable throughout an entire career.
Learning Linux, Fortran, and LaTeX properly gives you:
- independence,
- efficiency,
- confidence,
- and professional research skills.
These are not just courses.
They are long-term career tools.
Contact Me
📧 herve.tajouotela@sns.it
📧 telahe.edutech@gmail.com
🌐 Official Website – telahe.com
Ready to improve your scientific computing skills?
Whether you are preparing a thesis, starting research, or trying to become more efficient in computational science, I would be happy to help.
👉 Send an email today and let’s arrange a free introductory discussion.


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