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DEVELOPMENT Research Fellow / Senior Research Associate (24250392) The appointee is expected to conduct cognitive neuroscience research on interdisciplinary projects, duties include literature review, data
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Job Description FACULTY OF ARTS AND SOCIAL SCIENCES ACADEMY OF WELLNESS AND HUMAN DEVELOPMENT Research Fellow / Senior Research Associate (24250392) The appointee is expected to conduct cognitive
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learning in context. Our research examines mechanisms of human learning, the conceptual structure of human knowledge, how people communicate expertise, and effective strategies when trying to build new
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 15 hours ago
Qualifications: Bachelor’s degree in Mechanical Engineering Proficient knowledge of the finite element method for structural analysis using Abaqus® software Advanced knowledge of programming languages such as
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Classification Title Postdoctoral Researcher Working Title Postdoctoral Fellowship - Development of Innovative Airborne Communication Systems Brief Position Overview The Spectrum Lab (https://spectrum.montana.edu
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, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu
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objective of generating novel knowledge about how to reduce social inequality. The interdisciplinary center integrates researchers with substantive expertise from education, psychology, sociology, economics
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Alzheimer’s disease to the study and for administering non-invasive brain stimulation (phase-locked TI electric fields and audio), electroencephalography (EEG), and cognitive paradigms during wakefulness and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 days ago
skills and advanced knowledge of signal analysis; Proven laboratory experience, specifically in microscopy techniques and cell culture. Preferential: Preference will be given to candidates interested in
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Computer Science, Computer Science and Engineering or related area. Additional optional skills and qualifications: Proven track record in ontology alignment, machine learning with biomedical data, and knowledge