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Field
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leading scientists from mathematics, particle physics, astrophysics, and cosmology at the University of Hamburg and DESY. As part of the cluster's technology transfer activities, this project aims
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who holds a PhD in a quantitative discipline such as mathematics, statistics, or a related field, with applications in finance or economics. Candidates will be evaluated based on their publication
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postdoc candidate, with a keen interest in academic and professional development, who meets the following requirements: a PhD degree in computer science or artificial intelligence; demonstrable machine
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Ph.D. or other terminal degree in relevant field Preferred Qualifications PhD in Mathematical Economics and Social Science Candidates should have experience in at least one of the following areas
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of computational methods into clinically interpretable tools for bedside monitoring. Required Qualifications: PhD, MD, MD-PhD, or equivalent degree in biomedical engineering, electrical engineering, computer
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onsite. Relocation provided for those who qualify. Qualifications We Require: PhD in computer science, mathematics, theoretical neuroscience, physics, or a relevant field conferred within 5 years prior
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stakeholders involved in planning and decision-making. Qualifications Candidates must have a PhD in atmospheric physics, hydrology, meteorology, Earth system science, climate studies, applied mathematics
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to funder reporting Qualifications · Must have a PhD or equivalent in applied mathematics, statistics, biophysics, or similar. · Must be able to undertake full-time research and scholarship. · Must be able
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Drosophila melanogaster . The ideal candidate is an excellent troubleshooter, with rigorous mathematical and data analysis skills, a proven ability to work independently, and a collaborative mindset. They will
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PhD in Chemical Engineering or a closely related discipline; Demonstrated experience with mathematical modelling and simulation; experience with modelling electrochemical systems is considered