Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
variability in past landscape changes. Your results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for
-
computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for visualisations of historic landscapes developed by a postdoc at NIOZ in a collaboration with
-
Biological sciences » Biology Computer science » Informatics Computer science » Programming Researcher Profile Recognised Researcher (R2) Application Deadline 16 Oct 2026 - 21:59 (UTC) Country Netherlands
-
colleagues and students, you’ll apply mathematics to tackle societal challenges and bring new data-driven modelling, experiment, and computer-aided mathematics into education. We welcome applicants from
-
-Independent Acquisition (DIA), Parallel Reaction Monitoring (PRM), Quantitative proteomics workflows, Data normalization and quality control strategies, Strong experience in processing and interpreting
-
researcher and two PhD candidates. We are looking for a motivated candidate with strong technical and programming skills and relevant project experience to join this interdisciplinary research team
-
researcher with a strong technical background and an interest in societal impact. You have: Must have criteria: a PhD in computer science, artificial intelligence, data science, computational social science
-
mentality. We are looking for you, if you have: a (research) master’s degree in Artificial Intelligence, Computational Linguistics, NLP, Computer Science, Data Science, or a related field, with a strong
-
engagement and participatory research with quantitative system modelling of our research group; experience with systems modeling and computer programming (e.g. Python); strong communication and scientific
-
candidates with: An MSc degree in (or nearing completion of) an MSc program in Geoinformatics, Computer Science, (Quantitative) Geography, (Spatial / Geographic) Data Science, Environmental Science, or a