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-temporal analysis, use of latent variable models such as VAEs, GANs, and diffusion models to capture complex distributions, methods for interpretability (e.g., SHAP values), as well as uncertainty
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analysis or computer vision; ability to work both independently and in teams with other researchers and research groups; very good communication skills. Assessment criteria This is a career development
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THIS POSITION is based at the SoftiMAX beamline, part of the Imaging group at MAX IV, which encompasses 12-15 people (post-docs, engineers, scientists). Their main task is to aid research and
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seen as merit: Experience in use and/or operation of hard to tender X-ray synchrotron beamline Knowledge and practical experience in XES spectroscopy methodology and data analysis Good knowledge
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systems, or network analysis. Experience with methods for causal inference, or modelling of biological systems is also considered a merit, along with prior work involving large-scale sequencing data such as
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in Scandinavia. Hyperspectral lidar data analysis and visualization. Administration related to the work duties listed above such as experiment risk assessment analysis and permits for work in protected
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following merits shall form the basis for assessment: Experience in experimental work at synchrotron radiation facilities. Experience in qualitative and/or quantitative analysis of tissue microstructure
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, or sustainable supply chains. Proven ability to work independently as well as collaboratively within interdisciplinary and cross-sectoral research teams. Quantitative modelling and data analysis skills relevant
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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
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and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical