AFIDEP is looking for a passionate and motivated Monitoring & Evaluation (M&E) Intern to join our team.
If you are eager to gain hands-on experience in evidence-informed development and contribute to impactful work across Africa, this opportunity is for you.
🔗 Apply and view full details here: https://t.co/wOzR2GNDER
GISforAfrica Talent Management Services, GTMS is still offering slots to emerging talents from Africa and globally.
You can join also https://t.co/CoSE73pbHa
Remote Web Development (FREE)
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🛰️The first satellite in a new AI-enabled constellation has launched to detect wildfires while they’re still small. 🚒
FireSat can spot 5x5m fires within 20 mins using AI & hi-res imaging. Faster alerts means faster response, less CO₂, lower risk.
➡️ https://t.co/GCRWXmTBNU
Are you a geospatial data scientist looking for new opportunities?
Join our team!
@FAOstatistics is seeking candidates for a Geospatial Data Scientist consultant
Deadline: 17 March. See details👇
https://t.co/UAEkYdWFJO
Call for Applications for Residential Fellowships 2027-28 and Short-term Research Stays 2026-27 at the Swedish Collegium for Advanced Study (SCAS) in Uppsala, Sweden. https://t.co/p2m57V9d7p
🛰Apply now for the Earth Observation Summer School 2026 (17–21 Aug, Istanbul) for 5 days of hands-on training in spatial data science with Python, R, and Julia, plus hackathons, tutorials, and networking with leading experts in #EO and #GIS 🏖
We’re excited to welcome new lecturers from University of Twente, Deltares, Istanbul Technical University , Max Planck Institute for Biogeochemistry, Technical University of Munich @TU_Muenchen , and more!🧑🔬
🎓 Designed for MSc, PhD, postdocs, and researchers working with EO and geospatial data.
📅 Apply before 15 March:
https://t.co/vRnj68XuSN
🔗 Learn more about the programme:
https://t.co/ghHNd5YmxD
#EarthObservation #DataScience #RemoteSensing #GIS #OpenScience #Python #RStats #JuliaLang #EOSummerSchool2026
The study introduces δHBV-Pot, a physics-informed deep learning hydrologic model that integrates the HBV conceptual model with probabilistic pothole fill–spill–connection processes to better simulate hydrology in Prairie Pothole Region catchments. Tested across 98 catchments, it outperforms traditional and purely data-driven models and can regionalize high-flow behavior and pothole water storage dynamics even in ungauged basins without detailed pothole inventories.
Link to the paper: https://t.co/YoU9yQhlAY
@a_ameli2
Key points:
1. The Prairie Pothole Region may be the toughest hydrological puzzle on the planet. Millions of wetlands fill, spill, and merge unpredictably — the same rain can produce wildly different streamflow depending on how full the potholes are.
2. Standard models fail here. Pure deep learning struggles too — it can't learn the complex storage dynamics from weather data alone.
3. Our new model embeds fill-spill physics directly into a neural network. It predicts both streamflow and pothole storage dynamics in ungauged catchments — no detailed wetland inventory required.
#Hydrology #DeepLearning #PhysicsInformedML #HydrologicModeling #PrairiePotholeRegion #UngaugedCatchments #WaterResources #EnvironmentalModeling #HBVModel #HydrologicalProcesses
🚀 Applications are open for our 2027 Graduate Program!
📊 Data + 💻 Digital streams (close 31 Mar)
🧪 STEM + 🤝 HR streams (closes 13 Apr)
Start a purpose‑driven, impact making career now 👉 https://t.co/66LenxU3yT.
📅 Join our Grad Talk and hear from our Grads [17 Mar]!
Applications are open for Computational Tools for #ClimateScience course (13–24 July, 2026); live, intensive online course from #Climatematch!
There is no cost to apply.
➡️ Learn more: https://t.co/59hrJYWYU3
➡️ Apply before 15 March: https://t.co/rZ6Vds5KtY
Our 12 free e-learning courses will help equip you with knowledge in spent fuel, radioactive waste management, decommissioning & environmental remediation. 👉https://t.co/WJurg3J8DY