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Field
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We are hiring a postdoc to study how supply chains can stay resilient and meet regulatory demands, using system modeling and scenario analysis. Job description Supply chains are increasingly exposed
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Postdoctoral position available in surface functionalization of Life Marker Chips for space-based biosensing. Job description Project Background: The (Origin of) Life Marker Chip (LMCOOL) project
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conducting fieldwork, and in performing molecular labwork. You have a demonstrated ability to work with R for data analysis. Experience with, or a keen interest to learn, the analysis of metabarcoding data
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how that affects polarization. You will use innovative multimethod quantitative approaches, such as longitudinal survey research, (automated) content analysis, and experiments. You will work closely
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intelligence, biomedical engineering, medical image analysis, or a closely related field You have a strong publication record with first-author work in the domain of AI in health You have expertise in deep
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and vector biology? Then we invite you to apply for a unique opportunity within an international research project aimed at reducing the burden of malaria in sub-Saharan Africa. In this role, you will
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exploring the molecular mechanisms underlying motor neurodegenerative disease and performing cutting-edge biomedical research? Then you have a part to play as a postdoctoral researcher! We are looking for a
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approaches, such as longitudinal survey research, (automated) content analysis, and experiments. You will work closely with the PI, members of the Strategic Communication group, and another PhD student who is
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part of experimental research. Experience with quantitative/qualitative methods (statistical methods and interview analysis). Experience as audiovisual translator is a distinct advantage. Knowledge of
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advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement computer vision algorithms for accurate landing