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#computationalscience

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Be a #volunteer reviewer for the #ImpactScholars Program; a global initiative supporting early-career #ComputationalScience researchers.

🤓 Review short proposals in one of the following areas:

🗓️ Reviews take place between Sept 3–17
⏱️ ~5 hrs/week

Your time can help share someone’s scientific journey!
➡️ Learn more & sign up to volunteer: neuromatch.io/volunteer/

We're seeking #volunteer reviewers for the #ImpactScholars Program; a global initiative supporting early-career #ComputationalScience researchers.

We need your help to assess short research plans submitted involving computational tools for #ClimateScience.

🗓️ Reviews take place between Sept 3–17
⏱️ ~5 hrs/week with a review rubric provided

Your time can help share someone’s scientific journey! Learn more and sign up to volunteer: buff.ly/3XZ8gqv

At Neuromatch, we’re not just educating. We’re investing in future global scientific leaders.
After taking one of our Neuromatch courses, what comes next? Our Impact Scholars Program supports a diverse, globally minded community of computational researchers through hands-on research, mentorship, and professional development.

➡️ Read more in the Neuromatch 2024 Impact Report: drive.google.com/file/d/1xBWjj

Since 2020, Neuromatch has trained 11,625 students across 122 countries, with 54% from low- and middle-income economies. We have also hosted 17 language pods to help meet the needs of students.
This is what global access to computational science looks like!

🤓 Read the full report: drive.google.com/file/d/1xBWjj

🙋 Join our global community and sign up for our mailing list: neuromatch.io/mailing-list/

Ready to shape the future of #ComputationalScience?
This July, Neuromatch Academy is back and we’re inviting researchers like you to
mentor student-led projects.

As a Project Mentor, you’ll:
✅ Build global, cross-disciplinary connections
✅ Join a vibrant, mission-driven community
✅ Add mentorship to your CV & LinkedIn
✅ Support the next generation of computational scientists!

This is your chance to give back and grow!
➡️ Learn more and apply: airtable.com/app55efILsjdRZlcd

Ready to shape the future of #ComputationalScience?
This July, Neuromatch Academy is back and we’re inviting researchers like you to mentor student-led projects.

As a Project Mentor, you’ll:
✅ Build global, cross-disciplinary connections
✅ Join a vibrant, mission-driven community
✅ Add mentorship to your CV & LinkedIn
✅ Support the next generation of computational scientists!

This is your chance to give back and grow!
➡️ Learn more and apply: buff.ly/Ap3TlVI

Continued thread

Also, half of them are women, which is much better than the averages in natural sciences (not to speak of engineering). The main reason for this is that the program taps into Bachelor programs with a large number of women, Biology for example.

My opinion today is that this is a very interesting strategy to increase the number of women in tech. Most talk is about trying to get the numbers in, say, Computer Science or Electrical Engineering up (which are abysmal). But there is the much lower hanging fruit of looking at programs with a large number of women, and to then increase the amount of programming and mathematical skills that these students learn.

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In autumn 2023, two new master programs started at the faculty of science at #LundUniversity namely Computational Science (strong math background) and Applied Computational Science (weak math background). The students are now working on their master thesis and recently, we had a full day where all reported on their progress. To formulate the goal of the program succinctly, it is to have the students learn state of the art techniques for modelling and simuation and apply these to interesting problems. And, what can I say, the concept really works. It was a joy to see.

Here are some of the applications they are working on:
Paper production
Cooling of data centers
Cancer detection
Effect of microparticles on pregnant women
Tree ring series
Tree modelling in climate simulations
4D X-Ray
Peptides in Pharmacology
Room acoustics

And the methods are extremely varied as well. From numerical solvers for partial differential equations, to numerical solvers for neural networks, to purely data driven neural network approaches, and from differential equation based modelling to pure data analysis.

The advisors come from all institutions of the faculty of science, and from local companies.

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