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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core
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Anatolia and from the Tigris to the Mediterranean with a focus on visual culture. Qualifications Applicants must hold a PhD degree in Classical Archaeology or closely related disciplines and be able
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, you will be focusing on the topic of Brain Neuro-Adaptability to Pain, in particular brain oscillations in pain conditions and non-invasive brain stimulation. You will be working alongside PhD students
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the opportunity to co-supervise BSc, MSc, and PhDs, and we expect you to actively engage with the team and make your expertise available to your colleagues. We seek a talented physicist with an
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this postdoc position, along with an additional postdoc and one PhD position, we will tackle this grand challenge by fabricating and studying electrocatalysts with three-dimensional active site structures. With
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and training master’s/PhD students or visiting fellows in in-vivo imaging techniques and data analysis. Contributing to grant proposals and project planning. You will report to the Eugenio Gutiérrez
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be jointly supervised by Professor Jørgen Ellegaard Andersen and Associate Professor Shan Shan at QM. Candidate profile We encourage applications from PhDs in mathematics and related fields who possess
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, on the technologies and workflows of the Biosolutions Development Pipeline. Teaching will align with your area of expertise. We further expect you to contribute to supervising student projects at the BSc, MSc, and PhD
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in the project. Who are we looking for? We are looking for candidates with a PhD degree and demonstrable experience in food ingredient isolation, rapid experimentation, process miniaturisation
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Draževic, and will jointly develop the heterogeneous