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PhD Cognitive Neuroscience: "The Influence of Predictions on the Mechanisms of Conscious Perception"
scientists (technicians, MSc/BSc students). What do you have to offer You are passionate about cognitive (neuro)science and interested in consciousness or related topics such as perception and decision
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. This knowledge gap hinders the development of effective biomarkers and therapies for ASD. The Cognitive & Systems Neuroscience (CSN) group , part of the Swammerdam Institute for Life Sciences, is looking for a
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internationally recognized chemistry and molecular research, curiosity driven as well as application driven. This is done in close cooperation with the chemical, flavor & food, medical and high-tech industries
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Systems Neuroscience (CSN) group at the Swammerdam Institute for Life Sciences (SILS). You will receive top-notch interdisciplinary training which will prepare you well for a career in cognitive and systems
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carried out in close cooperation with the medical, biotech, chemical, flavor, food & agricultural, and high-tech industries, and revolves around 4 main themes, Cell & Systems biology, Neurosciences
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Are you interested in children’s self-views? And are you excited about using developmental science to better understand social problems? We are looking for a motivated PhD candidate to study
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work at the Swammerdam Institute for Life Sciences (SILS), one of the research institutes of the University of Amsterdam and will be directly supervised by Dr. Harm Krugers and Dr. Aniko Korosi
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in molecular sciences, both curiosity as well as application driven. This is partly done in cooperation with the chemical, energy, flavour & food, medical and high-tech industries. Are you passionate
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Physics, Mathematics, Computational Science or a closely related field, and a clear background or affinity for brain modeling; • strong quantitative and analytical skills, including calculus, linear
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and actively seek feedback and mentorship to grow their skills. With a blend of persistence and openness to learning, they will navigate through the complexities of computational science and medical