Sort by
Refine Your Search
-
in Python and affinity with large geospatial datasets. Interest in interdisciplinary research at the interface of geoscience, engineering, and societal impact. Good communication skills and willingness
-
Aerospace Engineering, Aeronautics or a comparable degree, thorough knowledge of AI/ML methods, acoustics, and air traffic management are preferred, as well as excellent programming (Python, Java, C++, …) and
-
. Building on these insights, you will run one dimensional mixed layer models to test how different conditions regulate stratification and mixing, and compare modeled responses with observations to expose
-
PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
are appreciated but not required. Good research skills evidenced by good grades for research methods courses. Excellent data analytical skills, as evidenced by a good command of R and/or Python Experience with
-
diverse group of people from different countries and disciplines, and we welcome candidates who contribute to and enjoy this diversity. Job requirements You must be able to demonstrate: Masters degree in
-
programming skills in Python/C/C++ Good oral and written skills in English Enjoys working in an international and inter-disciplinary research group To thrive as a PhD candidate, it’s crucial to have a strong
-
software engineering skills in Python. Strong background and research experience in astrodynamics/orbit determination and numerical methods. Experience in usage of PRIDE data is a strong plus. Experience in
-
Amsterdam by installing green roofs on existing buildings?' are important in fields such as urban planning, sustainability, and public health. It requires the transformation of maps combining different