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/neuro-AI, research software development, and open science. The role is intended to support career progression toward postgraduate study (including PhD applications) or technical roles in academia
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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
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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into open-source software tools and data portals of the institute • Collaborate with internal and external, as well as national and international, project partners Present your results at national and
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Post-embryonic development and anatomy of the zebrafish inner ear School of Biosciences PhD Research Project Directly Funded UK Students Prof T T Whitfield, Dr E Noel Application Deadline: 27
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issues that impact our society and are offering you the chance to actively help in shaping the change! This HDS-LEE PhD position will be located at Forschungszentrum Jülich. We offer ideal conditions for
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demonstrate their potential in a Europe-wide ecosystem reanalysis. The outcomes will include open-source software, scientific publications, and a PhD thesis. Your tasks within framework in detail: Conduct a
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Midlands Graduate School Doctoral Training Partnership; | Birmingham, England | United Kingdom | about 1 month ago
direct policy relevance and strong academic potential. Person Specification We are looking for a highly talented and dedicated PhD student. Candidates must have a strong academic background in the field
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD degree and 4 years of relevant postgraduate experience or a MS degree with 10 years
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software, and close integration with experimental and modeling groups across institutes and Helmholtz programs. Structured doctoral training and international visibility: The PhD candidate will be part of