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, through developing predictive models and new experimental methods and instrumentation, to design creative and cost effective CO2 trapping processes. The need is urgent, the task is challenging and a
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will develop imaging-driven quantitative Mass Spectrometry-based omics methods, both at bulk population and single-cell levels, for this project. You will work closely with experts in cellular signalling
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, we are looking for a candidate who has: Experience with qualitative research methods, particularly semi-structured interviews and stakeholder analysis, is required. Familiarity with agri-food systems
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We are seeking candidates for a post-doctoral position within the field of correlated disorder in crystals. The position is for three years. In case further external funding is secured within
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We are seeking candidates for a post-doctoral position within the field of correlated disorder in crystals. The position is for three years. In case further external funding is secured within
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to computational tools like RFdiffusion, ProteinMPNN, or AlphaFold. Experience with mammalian cell culture in two and/or three dimension Ability to perform biochemical and imaging methods Strong analytical skills
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phenotype definitions and the genetic modeling such traits Develop methods to define climate breeding objectives Participate in project applications Collaborate with diverse group of researchers nationally
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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analytical methods across the EU. Responsibilities and qualifications You will be a central part of our laboratory operations, and your task will be focussed on supporting our EURL-PC responsibilities as
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on post-training methods for these low-resourced languages, for example, by investigating the role of synthetic data, among other data augmentation techniques, and the role of in-context learning in