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Field
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A postdoc position focusing on structural and functional characterization of ciliary protein complexes derived from human cells is available in the research group of Assistant Prof. Narcis-Adrian
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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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personnel for training. Responsible for the initiation, monitoring, completion, and reporting of complex and intricate laboratory experiments. Organize and implement data review and analysis. Collaborate with
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such as mathematical physics, by the time of hire is required, along with a strong background in complex analysis of several variables, elliptic PDEs, and asymptotic analysis. Excellent verbal and
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should be sent to: amber@linxs.se THIS PROJECT: Developing a nano-spectral imaging approach for biological & biomedical samples. In bio samples, complex chemical and structural composition
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new coding languages will be preferred. Proficiency with advanced statistical analysis techniques, demonstrated through mastery of one or more of complex modelling techniques (e.g., multilevel models
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with a background in Music Cognition, Psychology, Music Technology, or Musical Data Science, ideally with a specialisation in experimental concert research and/or collection and analysis of continuous
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to tackle complex biomedical challenges in nutrition and health. This is a one-year full-time benefits-eligible position that may be extended for up to four more years, depending on performance, continuation
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), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview Additive manufacturing (AM) is a transformational technology for fabricating complex metallic shapes directly from 3-D digital models
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to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data