Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
the complex drivers of landslide risk in rapidly urbanising tropical cities. The project will develop a hybrid modelling framework combining process-based and statistical methods to examine causal feedbacks
-
technical studies (at least MSc.) in computer science, mathematics, electrical engineering, physics, or other related fields. Very good knowledge in computer vision or image processing, especially in
-
qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar Knowledge in at least one area
-
struggled with tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a large initiative that aims
-
qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar (minimum BSc. degree) Good
-
and determination? We are currently seeking a/an University assistant predoctoral - VISESS Completion Grants 53 Faculty of Earth Sciences, Geography and Astronomy Job vacancy starting: | Working hours
-
hitherto struggled with tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a large initiative
-
papers This is part of your personality: MSc in Physics, Chemistry or related areas at the time of recruitment (any time between June and September 2025). Preferred background in statistical physics, soft
-
: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge
-
postdoctoral scientist who is excited to develop a user- and developer friendly software platform for MINFLUX. • You should hold a PhD degree in computer science physics or engineering. • You should have a