Jakob Schwalb-Willmann just started his M.Sc. thesis titled “A deep learning movement prediction model using environmental data to identify movement anomalies”. He will combine animal movement and remote sensing data in order to develop a generic, data-driven DL-based model that predicts movements from movement history alongside environmental covariates in order to detect movement anomalies. He will establish simulated, controlled environments that allow precise adjustments of the model inputs to test the model’s feedbacks and its variability. It can be considered as a precursor study for the model’s deployment on real data and to only experimentally apply it on such due to the given constraints (time and content) of his M.Sc. thesis. The first supervisor is Dr. Martin Wegmann.
Mastering Scientific Presentations: How EAGLE MSc Students Elevate Their Soft Skills
In the world of science, research is only as powerful as its communication. At the EAGLE MSc program, we recognize that technical expertise alone isn’t enough—soft skills like scientific writing, visual storytelling, and presentation skills are just as crucial. That’s...
