Sort by
Refine Your Search
-
the Data Engineering, Science and Systems (DESS) research group focuses on data-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning, with applications in
-
yourself at the interface between protein science, food science, analytical chemistry, and data science and? If yes, we look forward to reading your application to our PhD Stipend. At the Faculty
-
design to improve on-site waste management The development and implementation of initiatives that enhance waste sorting quality and documentation practices The application of analytical, computational, and
-
research that combines theoretical development with system-level understanding, and you are able to approach complex problems in a structured and analytical manner. You take responsibility for your own
-
English, in writing and orally, and you are used to collaborating in international and multidisciplinary environments. You work in a structured and analytical manner, take responsibility for your tasks and
-
of mapping as an analytical and generative research method. Applicants must hold a Master’s degree in sustainability and planning, urban studies, sustainability and design, geography, or a related discipline
-
, bioelectrochemistry, electrochemistry, photochemistry, analytical chemistry, and/or spectroscopy will be considered an advantage. Strong communication skills in English, both written and spoken, are required, as the
-
Engineering, Science and Systems (DESS) research group focuses on data-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning, with applications in digital energy and
-
, mathematical engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in
-
nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a variety of Earth surface processes. This PhD position focuses on developing analytical models