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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to oversee the progress of an oral drug
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(R1) Positions PhD Positions Application Deadline 16 May 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 38,5 Offer Starting Date 17 Feb 2026 Is
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6 Mar 2026 Job Information Organisation/Company Barcelona School of Economics Research Field Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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Brain Decoding Models across Subjects School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 11 days ago
walls; iii) Experimental and/or numerical characterisation of the mechanical and seismic behaviour of the proposed connection solutions; iv) Development and calibration of numerical models representative
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Senckenberg Gesellschaft fuer Naturforschung | Frankfurt am Main, Hessen | Germany | about 6 hours ago
(SBiK-F Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 29 Mar 2026 - 00:00 (Europe/Berlin) Country Germany Type of Contract
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) Positions PhD Positions Application Deadline 16 Mar 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 2 Mar 2026 Is the job
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Job Purpose To make a leading contribution to the BIOGRAPH – Biophysical Tumour Growth Modelling for Novel GBM Treatment Response Assessment: Harnessing Physics-Informed Deep Learning project
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30th March 2026 Languages English English English The Department of Structural Engineering has a vacancy for Two PhD positions in “Micromechanics-based modelling of ductile failure in high-strength
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining