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patient-derived organoid models of gynecology cancer; 2) interrogate the contribution of the tumor microenvironment to therapeutic response. The laboratory employs patient-derived organoid and xenograft
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for candidates with a background in or demonstrated ability to learn about: Bayesian methods, probabilistic machine learning or inverse modelling. Prospective applicants are encouraged to direct informal inquiries
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experiments Structural modelling and related econometrics Proving theoretical results Basic Qualifications Bachelor’s degree by start date (required) Strong programming and quantitative skills, including
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radiopharmaceuticals. Working with experimental tumor models, including cell culture, establishment of tumor models, and monitoring and care of laboratory animals. Performing biological sample collection and
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, Postdoc Committee Association Additional information: Start date: can be from September 1st, 2026 Job type: part-time working contract (min. 0.5 FTE) + study stipend; guaranteed study income for 4 years
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postdoc. For this position, we are looking for a PhD candidate eager to deal with the understanding of the diverse values of nature (including biodiversity and ecosystem services) across stakeholders, and
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white matter. The network aims to strengthen the full translational pathway from disease mechanisms and model development to preclinical therapy testing, clinical readiness and patient-informed treatment
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this project, you will develop new image analysis methodologies for less invasive and non-invasive quantitative brain PET studies using LAFOV PET/CT. You will work on model-independent kinetic analysis methods
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devices, building a software-supported framework to predict and optimize laser-material interactions, energy transfer, and resulting micro-scaled features during drilling and shaping, and modelling of beam
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to join a multidisciplinary biomedical research team. The successful candidate will contribute to cutting-edge research involving genome engineering, transgenic animal model development, molecular biology