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Field
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including, quantitative systems biology, development of advanced methods for integration of large-scale omics datasets, and application of machine learning and statistical modelling for decipher cell and
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Lecturer. Background Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
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will include the supervision of BSc and MSc students, as well as co-supervision of PhD candidates. The applicant may also be asked to design and deliver a specialized course aligned with
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injury/degeneration. Candidates whose research program integrates cutting-edge neuroscientific methods to investigate behavioral and psychological processes using animal models are particularly competitive
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their current wording. 6. SCIENTIFIC ORIENTATION AND WORKPLACE The work will be developed at Instituto Superior de Engenharia do Porto, under the scientific supervision of Professor (PhD) Ana Maria Marques de
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of early brain injury. For over 15 years Prof Geraldine Boylan and Prof Deirdre Murray have worked to develop new methods to predict, detect and prevent early brain injury and disability in young children
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a candidate who conducts research on development during any stage of the lifespan using human imaging methods, focusing on mechanisms of change over time. While the population of interest and area of
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that perpetuate racial discrimination and harassment within care systems. About the role We are seeking an enthusiastic Qualitative Research Associate to join CARE-HSC, specifically working on ‘Workstream 1: Formal
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methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and
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part in scientific life. Additional requirements necessary for employment (indicated in order of priority) Eligibility and project criteria: Obtaining a PhD degree no earlier than 7 years before the year