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sent by e-mail, together with significant documents, indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Fabian Hoffmann: sekretariat@met.fu-berlin.de or postal
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should be sent by e-mail, together with significant documents, indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Michael Goebel: arbeitsbereich-goebel@geschkult.fu
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). Supervisors Primary supervisor: Prof. G.Tasca. Co-supervisors: Prof. J.Diaz-Manera, Dr. S.Cockell. Eligibility Criteria You must have, or expect to achieve, at least a 2:1 Honours degree or international
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Family Education-General Full/Part Time Part-Time Regular/Temporary Regular Job Code 9754 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job No job description available Apply
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. Experience of advanced data analytics, including if possible experience of coding in Matlab and/or Python, is highly desirable. Experience of collecting neuroimaging and/or wearables data from infants/children
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project will involve collecting and analysing EEG, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab
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, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab and/or Python, is highly desirable. Experience
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2025 Award Duration: 4 years Application Closing Date: 10 August 2025 Sponsor: LifeArc Supervisors Prof John Sayer Prof Heather Cordell Dr Juliana Arcila-Galvis Eligibility Criteria Minimum 2:1 Honours
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on an ARC-funded Discovery Project entitled “Probabilistic methods for complex discrete structures”, in collaboration with Prof. Catherine Greenhill (UNSW), Dr Mikhail Isaev (UNSW), A/Prof. Anita Liebenau
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Industrial Doctoral Landscape Award (IDLA) in Gas Turbine Heat Management. Supervisors: Prof Peter Ireland Future aircraft engines will maximize fuel efficiency by including new, fluid flow and cooling systems