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: 33 days annual leave, plus 9 buildings closed days for all full time staff. Purpose of Role The Laboratory of Ultrafast Physics and Optics (LUPO, https://lupo-lab.com) seeks a talented and motivated
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The selected candidate will strongly benefit from a multidisciplinary environment with other postdocs and PhD students working in quantum technologies at ICFO and with strong collaborations with our European
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expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes; Supporting ongoing work and manuscripts, including related data
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(NLP) algorithms applied to electronic health records (EHR) to understand cannabis-related harms in aging PWH and people without HIV. The position will entail collaborations with several investigators
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: Reviewing existing quantum algorithms relevant to fluid dynamics and atmospheric modeling. Evaluating their compatibility with the structure and requirements of current NWP models. Identifying potential
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profile. The successful candidate will primarily advance data analysis, algorithm development, modeling, and translation of complex measurements into practical decision-support, process-optimization, and
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Foundation Health Model. As a PhD candidate, you will conduct deep-dive research into training pipelines and reasoning techniques for clinical foundation models. You will join an elite, interdisciplinary team
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will also investigate process optimisation algorithms, providing a route toward autonomous optimisation and ultimately enabling long term stable operation under variable load conditions. This post is
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Employment 1.0 FTE Gross monthly salary € 3,706 - € 5,760 Required background PhD Organizational unit Faculty of Science Application deadline 14 October 2026 Apply now Join an ambitious
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of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With this position, we seek to strengthen