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the first year of Stroke Research Lab fellowship curriculum. MD/DO/MBBS/MBChB degree to equal at least 5 years of experience. Preferred Qualifications: Clinical healthcare experience related to the field
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geophysical investigation, geomechanical engineering, and machine learning. The Centre for Urban Solutions is to provide leadership in developing innovative solutions and sustainable technologies for space
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mentorship. Develop, implement, train, and validate machine learning and deep learning models for AI-driven prediction of cell physiology, metabolism, and functional behavior, with input from the research team
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Research Fellow (post-doc) with a strong epidemiological background. The successful candidate will lead population-level ageing research within our team, leveraging large longitudinal datasets to identify
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Engineering with at least 2 years of post-doc research experience. With a chemistry background, skilled in chemical synthesis and purification of small molecules and polymers. Understanding the molecular
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value creation. You'll be an ambitious, research-active academic with a passion for connecting scholarship with practice and impact. You will bring: A PhD with a post-doc experience in a relevant field
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will be conducted at Departamento de Química e Bioquímica da Faculdade de Ciências do Porto, under the supervision of Doctor Andreia F. Peixoto. Duration: The fellowship has a duration of 12 months
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• A positive attitude and drive for learning skills, methods and theory • Ability to work in a structured manner, facilitating teamwork • Ability to prioritise and complete work tasks • Ability
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possible renewals, a cumulative period of four years of research fellowship intended for doctoral students. Preferential factors: Research experience in the areas of Bioinformatics and Machine Learning
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, and publication list One educational or professional recommendation All documents must be in English or include an official English translation. If you have questions, send an email to ORISE.FDA.CDER