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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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Experience with pathways and complex networks in cell biology Finally, applicants should: Be curious and ambitious Take pride in being a good colleague and scientist Who we are The laboratory is located
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We are seeking applicants for postdoc positions in ‘Mammalian Nuclear RNA Production and Turnover Systems’ to join us at the Department of Molecular Biology and Genetics in the research team
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. The position is a fixed-term full-time position for 12 months/years. The Department of Biomedicine prioritises diversity and a good work environment, as this is a prerequisite for groundbreaking research. In a
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with analysis of epidemiological data are required. Experience with modelling repeated measures within individuals is an advantage. As a person, you have good interpersonal skills, are inclusive and team
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Research Associate or Fellow to work in the group of Prof. J. Anders on a funded EPSRC research project entitled "Good Enough” Prediction Of Realistic Open Quantum System Dynamics For Magnetism, Transport
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thereafter. The position is a fixed-term full-time position for 24 months/ 2 years. The department of Biomedicine prioritises diversity and a good work environment, as this is a prerequisite for groundbreaking
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their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity
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their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity
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thereafter. The position is a fixed-term full-time position for 22 months. The department of Biomedicine prioritises diversity and a good work environment, as this is a prerequisite for groundbreaking research