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want to develop a next-generation imaging modality that will have true and lasting impact and use it to learn more about fundamental nanoscopy? In that case, we encourage you to submit your application
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for single-cell and spatial omics Deep learning and representation learning to model cellular states and interactions Explainable AI for biomarker discovery and patient stratification Cross-disease modeling
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experience in teaching, in particular supervising bachelor’s and master’s theses. What do you have to offer You are: Curious and eager to learn Enthusiastic about engaging with young children and their
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! Recent advances in EO, such as dense satellite time series, rapid data access, and machine learning, have enabled the detection of deforestation, fires, floods, agricultural activities, and land cover
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-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic
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-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical
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support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical infrastructure, on-campus children's day
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. An inter- or multidisciplinary background and good communication skills are therefore important assets. Your duties you publish research results in international peer-reviewed journals you teach for 0.1 FTE
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your own learning process . An excellent technical infrastructure, on-campus children's day care and sports facilities. Unlimited access to the modern on‑campus TU/e Student Sports Center at an
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yourself. Independent researcher: You are interested in mixed-methods research and are willing to learn a new research methods and take responsibility in its execution. Curious and open-minded: You have