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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
markers on endothelial and epithelial models. Parallel analytics and surface/electrical characterization will contextualize any responses and confirm stable formulation performance. Outcomes will be clear
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-driven experiment design. Optimize pipelines for performance, parallelization, and near real-time operation during beam time. Contribute to simulation tools to test imaging concepts, predict performance
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, and other methods of scientific communication of project results. Qualifications Required PhD in Wildlife, Conservation Biology, or related field with on or more years of research training. Strong
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into hours, scale evidence review across thousands of studies, and explore many hypotheses in parallel so researchers and clinicians can focus on strategic decisions and patient care. Every solution you build
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this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also
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in parallel with the respective bioinformatics analysis and integration of the data generated. 4. Mandatory Admission Requirements: Master's degree in Biological Sciences or related areas; Proven
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. The funding body is the Novo Nordisk Foundation. In parallel with research, you have the opportunity to take part in innovation activities with Copenhagen Microsystems , and this could be up to 20% of your time
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support a parallel research project investigatingflux trapping and phase slips in superconducting circuits, and take part in the supervision of a PhD student working on this topic. Key responsibilities
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reports Develop and apply software tools Document software and data according to the FAIR data principles Contribute to workshops and training activities Your Profile: Master with subsequent PhD degree in
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activities. Your Profile: Master and PhD degree in astronomy, physics, computer science or equivalent fields of study. Proven experience in N-body simulations and the comparison of simulation and observation