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UnitedKingdomTime) Position Description: Apply Position Description The project involves mathematical modelling of complex fluid dynamics, in particular viscoelastic flows in nano-structures. The work involves
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specimens to estimate historical age structures over the last 150 years. Forecasting Shifts in the Pollination Service Window. The researcher will use Bayesian inference (e.g., Integrated Nested Laplace
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drive systems is an advantage. Also, experience in applied work with measurements and construction of experimental setups in electrical engineering is an advantage. Further information Full-time fixed
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English Proven experience in handling, structuring, and analysing large datasets The capacity to independently lead research tasks A collaborative mindset and a willingness to support grant writing and PhD
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should be clear in your communication with others and have strong skills in English, both spoken and written. You must also be able to collaborate effectively to achieve common goals. We value a structured
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communication with others and have strong skills in English, both spoken and written. You must also be able to collaborate effectively to achieve common goals. We value a structured approach and the ability
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strengthen your application: Experience with molecular biology. Experience with protein structures. What you will do Prepare, and help others prepare biological samples for mass spectrometry analyses
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excellence (publications, open-source contributions, or comparable output) Desired Qualifications Experience or strong interest in the integration of language models with structured knowledge. Familiarity with
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structural and molecular virology The Department of Medical Biochemistry and Biophysics conducts research and teaching at the Faculty of Medicine. In addition to department-wide grants for research and
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protein structures. What you will do Prepare, and help others prepare biological samples for mass spectrometry analyses at dedicated proteomics platforms. Interact with the platforms whenever needed