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postdoctoral experience (up to 2 years). The successful candidate is expected to work on the phenomenology of the physics beyond the Standard Model, including flavor physics (hadronic and leptonic), as
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Internal Number: 6782913 Postdoctoral Research Associate About the Opportunity Job Summary The Wang Lab seeks to advance our understanding of chloroplast function using the model unicellular microalga
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: • Identifying circular business models, collaborative consumption models, infrastructure needs, social enterprises, financial incentives and systems that could be developed to support and scale-up the transition
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Biomarkers and Susceptibility Unit (UBS). To find out more, visit our website: https://www.odap-ico.org/ About the role We are seeking a highly motivated data scientist to join the research team on artificial
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Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO) | Spain | about 1 month ago
experiments and interpret results. Contribute to biomarker discovery and predictive model development. Support data visualization, reporting, and dissemination of findings in publications. Requirements PhD in
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framework (e.g., OpenFOAM, ANSYS Fluent). Solid understanding of heat and mass transfer, turbulence modeling, and reaction kinetics. Experience with high-performance computing (MPI, parallel simulations) is
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. It is expected that the data obtained will ultimately make it possible to the development of a new application-oriented model. We are looking for a strong postdoctoral fellow who will be able to become
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Ability to collaborate effectively with a diverse team of researchers and students Excellent communication skills Fluent in English (written and spoken) Experience with ab-initio modelling of optical
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staff position within a Research Infrastructure? No Offer Description The project “Teachers’ purpose and well-being: a study with Brazilian public school teachers in light of the Organizing Models
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risk of cardiovascular disease. Your main tasks and responsibilities are: developing deep learning-based model for detection and quantification of coronary calcifications in contrast-enhanced CT images