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, glucose tolerance tests, tissue collection). Be motivated to learn and apply advanced mass spectrometry approaches or novel microphysiological methods. Possess or be willing to develop coding skills (R
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thereafter. The position will be available for a two-year period, with possibility of extension. You will be part of a research environment focusing on estimating greenhouse gas (GHG) emissions, reactive
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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differentiation. The position will focus on designing and executing experiments involving Cas9 based perturbation, single cell multi omics method development, and downstream verification in transgenic cell lines
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. Expected start date and duration of employment This is a 1-year Post Doctoral position (37 hours/week) from 01.02.2027. Job description You will be contributing to the development of catalytic methods based
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embeddings, and developing explainable AI methods that translate model outputs into interpretable visualisations for clinicians and chemists. Extending methods to high-resolution MALDI (MALDI-2, timsTOF) and
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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The Section of Biostatistics is looking for a postdoc to develop statistical methods for inference on causal effects in studies affected by non-random participation, particularly self-selection in
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scientific outlets. Your daily work will typically involve a combination of independent research and collaboration in project teams, where you help develop concepts, methods and solutions that are relevant
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, or other participatory research methods is welcome but not required. Experience with food consumption, sustainability, or circular economy research is an advantage but not a requirement. Note that you do not