1,107 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"FEUP" PhD positions
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at the University of Edinburgh. Candidates currently studying outside of China are eligible to apply, but not those who have already commenced a PhD programme of study prior to the 2025-2026 academic year. The
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, the candidate should be committed to: doing field work, wet-lab work, learning about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories
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analysis, critical thinking, scientific writing Your supervisors will help you identify your training and development needs, and use dedicated time and funding within the ARIES DT programme to support your
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interest in biodiversity, functional ecology, image/video analysis, and conservation. Experience with programming, statistical analysis, or spatial modelling is desirable but not essential, as full training
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States of America) and you have obtained a diploma of secondary education in English for at least 2.5 years in one of the above countries. You have obtained your higher education diploma in English (the entire programme
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the lab’s research program. Essential Job Duties Lead the construction of an experimental system simulating post-impact conditions of early Earth atmospheres. Develop custom-designed tools to study the post
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the use of mass spectrometry Experience in high-resolution fluorescence microscopy Very good knowledge in the application of statistical analysis procedures Basic knowledge in the use of programming
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a doctorate Develop and test novel cognitive tasks Plan and conduct behavioural and / or neuroimaging studies related to memory, in healthy controls and clinical patients Analyse behavioural and / or
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communication skills in English and motivation for independent scientific work WE OFFER: Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year
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for Doctoral Training in Modelling of Heterogeneous Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics