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from patients with psychotic illnesses, curate and process these datasets, and derive both functional and structural brain networks. This will include using our group’s new Morphometric Inverse
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to the wider activities of the team and department and will actively participate in internal networks by liaising with colleagues and students to facilitate the exchange of ideas and information, fostering
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cell biology. The post holder will work on an MND Association-funded project to map the interaction network of Annexin A11 and elucidate its role in neurodegeneration. The research aims to uncover how
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). The postholder will lead on this defined component of a strategically important Oxford–AbbVie collaborative programme, embedded within a larger team of 4 Postdocs. The role combines scientific independence with
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–make–test–analyse (DMTA) cycle operated jointly with the paired medicinal chemistry postdoc. Who we’re looking for: A PhD in structural biology, biophysics, biochemistry, chemical biology, or a closely
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, including appropriate data and software management. Desirable criteria 1. Experience with tensor network algorithms, Pauli propagation, exact diagonalisation or other classical simulation methods for quantum
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impact? We are currently seeking a/an University Assistant Postdoctoral 52 Faculty of Chemistry Startdate: 01.09.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc
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(postdoc) Limited until: 31.10.2032 Reference no.: 6212 There are many good reasons to want to research and teach at the University of Vienna. And one is why around 7,700 academic staff members before you
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/an ... University Assistant Postdoctoral 52 Faculty of Chemistry Startdate: 14.09.2026 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 6126 Explore and teach
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technologies. TACT brings together a wide network of academic, industry, and charity partners, including Microsoft Research, Tobii Dynavox, Transport for London, Hidden Disabilities, Aphasia Re-Connect, Dyscover