Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
architectures, and on-device inference on edge-compute platforms. Demonstrated analytical problem-solving through experimental design, critical quantitative and qualitative data analysis, and validation
-
testing, to achieve sub-second cycle times for robotic systems. 3. Demonstrated analytical problem-solving through experimental design, critical quantitative and qualitative data analysis, and validation
-
molecules as analytical standards and in metabolism studies. As a PhD student, you will focus on the synthesis of pyrrolizidine alkaloids. You will design and synthesize the core, develop the reaction scale
-
or computational neuroscience, artificial intelligence, psychology or a related field. strong programming skills. experience in experiments with human participants is preferred. good analytical skills and a positive
-
, educational psychology, behavioral science, artificial intelligence, or a related discipline; solid methodological and analytical skills, with experience in conducting qualitative and/or mixed methods research
-
motivation to gain experience in) quantitative methods and statistical analysis; excellent analytical proficiency and conceptual understanding; strong communication, presentation, collaboration, networking and
-
public audiences and taking part in a pilot programme where experience can be acquired in high school science teaching; use graph theoretical tools to develop new fundamental frameworks and analytic tools
-
team spirit. You have strong analytical skills. Preferably, you have experience with neuroimaging (MRI or EEG) data acquisition and analysis. What we offer you We will give you a temporary employment
-
comfortable applying analytical thinking to explore research questions and have programming experience (preferably in Python). You have an affinity with coastal numerical modelling, e.g. AeoLiS, XBeach
-
chemical reaction networks with robotic systems and analytical science. You will also learn how to programme robotic systems and how to implement aspects of deep learning and neural networks for reservoir