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Trinity College Dublin, School of Mathematics Position ID: 1697 -PHD [#26720] Position Title: Position Type: Academic admissions Position Location: Dublin, Dublin D02 PN40, Ireland [map ] Subject
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strategies targeting R-loop-associated malignancies. See also https://www.imb.de/wang For a more detailed description of the project including relevant literature, see here[pdf-Datei] . This PhD position
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fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
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) change tread pattern (or tread groove depth), ii) aerodynamics by changing the surface texture of sidewall, iii) noise cancelling (vibration), iv) mechanical properties (hardness). Resources: The PhD
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for renewable fuel production. Reference notes can be found here . PhD Scholarship details Funding: $37,440 per annum (2025 rate) indexed annually. For a PhD candidate, the living allowance scholarship is for 3.5
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campaigns (one to two weeks per year) Holder of a valid car driving license Our offer We offer a fully funded PhD student position (3 years, full time) at Empa, the Swiss research institute for materials
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 8 days ago
Kovtun) at the City Campus invites applications for the position as PhD student (f/m/d). We are looking to recruit a PhD student for projects in structural studies of membrane trafficking using cryo
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Ecole Polytechnique Federale de Lausanne, Unsteady Flow Diagnostics Laboratory Position ID: Ecole Polytechnique Federale de Lausanne -Unsteady Flow Diagnostics Laboratory -PHD [#30284] Position
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Description Main tasks You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI ( baiome.org ) to complement our lively and enthusiastic team of machine learning and data analysis experts. The main tasks include the analysis of complex biomedical data using...
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The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence will inform future race strategy and live race tactics. Multiple factors influence the strategy...