29 experiment-"https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs at Delft University of Technology (TU Delft) in Netherlands
Sort by
Refine Your Search
-
background in electron optics, charged-particle optics, electron microscopy, electromagnetic simulation or scientific instrumentation. Experience with MEMS, nanofabrication, vacuum systems, detector technology
-
understand what a desirable innovation is. For that, the vacancy's requirements are: PhD in Industrial Ecology, Sustainability Sciences, Technology Assessment, or a related field Proven experience with Life
-
engineering, bioengineering, neuroscience, cell biology, electrical engineering, or a related field. Hands-on experience with mammalian cell culture, preferably neuronal or stem-cell-derived cultures
-
a requirement. Experience with advanced statistical methods, econometric methods, and Monte Carlo simulation is an advantage. We do not expect candidates to already possess expertise in these areas
-
position helps oversee the TU Delft PhD projects in PL2 and aligns the systems and interfaces designed in each individual project to create large-scale experiments and integrated demos. The aim is to
-
or more of these areas describe you, we encourage your to apply. We particularly welcome applicants with experience or interest in interdisciplinary research. This position is for 30 months for a full-time
-
into the technologies we all live with. This project, Techno-Moral Experience and the Foundations of Design for Values (TechnoMoralXP), tackles that gap head-on by building a moral epistemology for DfV. Its guiding idea
-
diffraction, calorimetry, INAA etc. Electrochemistry experiments will also be designed and performed. As part of the Post Doc project, the candidate will supervise bachelor and/or master students, and will
-
results from experiments and initiatives happening across the university. This preliminary investigation will inform a study that you will design and implement in TU Delft classroom(s). Ultimately, you will
-
classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory experiments on scrap characterisation and sorting