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researchers from different disciplines, including machine learning, data science, and law. You will be part of an exciting, vibrant, and quickly growing community where researchers from different disciplines
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, Chemical Biology, or a related field; Has skills in organic synthesis and chemical characterization; Experience in peptide synthesis and characterization. Experience with, or a strong willingness to learn
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related to staff position within a Research Infrastructure? No Offer Description Have you ever wondered how babies and young children can be so quick in learning to reach, climb, and run? Are you interested
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based on their potential for learning to read rather than their current knowledge, with the aim to make it less biased. DA uses interactive tasks to understand how children learn. In a 3-year longitudinal
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model of AD. Our team offers you an exciting learning environment in the fields of translational neuroscience and neuroimaging. You will join the PI group led by Dr. Inge Leunissen, embedded in
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eager to learn; You are fluent in English (Cambridge English Proficiency, level C2, orally and written); fluency in one or more relevant language(s) is desirable; You are willing to relocate
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programmes and research. In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together
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focus for your project by surveying relevant literature and archives. Conduct archival research, and potentially oral histories, in one or more countries. For this, travel will be required. Learn and
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competence, honesty, and reliability, especially in epistemically and politically opaque AI models like deep learning. The AI-TRUST project aims to investigate the trustworthiness of AI systems in healthcare
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, and merging datasets, organize focus groups, and other relevant research activities; Learn and apply (quantitative) methodological techniques relevant to the project, both for data gathering/processing