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interpersonal skills are required to ensure success in liaising with a large and diverse research team: PhD in Organic Chemistry or a related field. Strong background in synthetic organic chemistry, and/or solid
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. Supervision of students on philosophy of science at the Department of Philosophy. Participation in administrative tasks in research, teaching and administration. Your academic profile: Completed doctoral/PhD
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, handling and processing of large data sets, knowledge of data acquisition systems, signal and image processing as well as experience in measuring acoustic pressures in cavitating liquids and high-speed
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interpersonal skills are required to ensure success in liaising with a large and diverse research team: PhD in Organic Chemistry or a related field. Strong background in synthetic organic chemistry, and/or solid
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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include undertaking research, as appropriate, to support the project including contributing to the delivery and analysis of a large-scale questionnaire survey, conducting qualitative research interviews
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to prevent and/or mitigate the impact of E. coli and Klebsiella spp. infections, including those associated with antimicrobial resistance (AMR). As part of this post there is an opportunity to analyse large
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interpretation of atmospheric circulation in high-resolution reanalysis data, idealised model simulations and a state-of-the-art weather forecasting system. The post-holder will have the opportunity to teach
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, receiving mentoring, training on large-scale computing, or possibilities of mentoring PhD/MSc students and teaching, if that is what you are looking for Opportunity to work in Finland, which is a safe
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computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field