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Field
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
workshops. Qualifications Applicants must hold a PhD degree (or equivalent) in a relevant field. Suitable disciplinary backgrounds include but are not limited to: Computer Science, Data Science, Artificial
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for Applicants. Throughout the programme, researchers will benefit from tailored mentoring by dedicated UPPA supervisors, close collaboration with a financed PhD candidate, and a 3–6-month research secondment at a
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
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science and industrial groups About you: PhD in physics, mathematics, quantum information or similar fields Knowledge in Quantum Computing Experience in the analysis and simulation of experiments in
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, 2026 and should include: A a one-page motivation why you want to apply for this position and to join the group. A detailed CV (resume) with a publication list. Title PhD thesis and DOI if available
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health interventions, particularly vaccines. It will involve applying a range of health economic, mathematical and statistical techniques, including economic evaluation and computational methods. The roles
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. Required Qualifications at this Level Education/Training: PhD (theoretical nuclear/high-energy physics, quantum information science, lattice gauge theories, quantum many-body dynamics) Experience: Preferred
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of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca.. The above-named project addresses drawbacks in the current understanding of stratified rotational atmospheric and ocean flows from
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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Applied Mathematics or Theoretical / Computational Physics (completed or close to completed) in a subject relevant to the project, such as (but not restricted to) statistical mechanics, soft condensed