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Langmuir probes systems at the test facilities Analysis of the obtained data Present the results in meetings, conferences and reports Active contribution to the experimental program to obtain ion source
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research
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of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. We invite you to be part of our diverse and international team at CASUS in Görlitz
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the team of Prof. Dr. Loriana Pelizzon on data and methods for supervision of climate and ESG risks in Capital Markets (incl. investment funds, bonds, stocks). The role involves advising and
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with free electron lasers offer a new route to the structure determination of biomolecules. Due to the super-low signal-to-noise ratio, computing the structure from such data is challenging, and new
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biology Experience with multi-omics data analysis or AI-driven biomedical research is a plus Interest in tumor microenvironment, immune response, and systemic effects of local therapies Ability to work
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-oncology at high throughput using time series of multiparametric physiologic MRI data. The 100% position is initially for 2 years and 3 months, with the possibility of extension. The ideal candidate will
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of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs (e.g., Teuken 7B, Llama 3, Mistral 7B) specifically
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physiological parameters An interest in data analysis and AI Collaborating with the POEM platform head as well as other postdocs and research groups in the interdisciplinary POEM network Integrating the findings