1,753 data-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Rijeka" Fellowship positions
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. The Research Fellow will undertake high-quality research both independently and collaboratively, producing scholarly outputs and engaging with policy actors, UN agencies and other stakeholders to support data
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undertake research in the neuroscience of ageing using the model organism Caenorhabditis elegans. You will also have the opportunity to contribute to project design and implementation, the analysis of data
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testing, instrumentation, data acquisition systems, and numerical or analytical modelling of fatigue damage will be considered an advantage. motivation and potential for research within the field
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, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches, the project will provide practical models for hazard
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, self‑directed, and thrive in multidisciplinary environments where community partnership is central. Note: Employment checks will include information on gender-based violence, sexual harassment, and
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Max Planck Institute for Comparative Public Law and International Law, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 1 day ago
academic referees Contact information For inquiries about the group or the position, please contact Dr Carolyn Moser or her assistant Rocío Bargon Sánchez at ensure@mpil.de .
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disciplines or an equivalent qualification. Applicants are invited to contact Prof. A. Ping Zhang at telephone number 3400 3336 or via email at azhang@polyu.edu.hk for further information. Conditions of
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in analysis of physiological data, MRI imaging and statistical analysis of crossover design studies and epidemiological datasets. Manage own research and administrative activities. Publish research
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
results, compare MPS-derived profiles with clinical data, and assess translational concordance. These efforts will include identifying factors that contribute to variability between in vitro and clinical
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oncology and health policy by providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance