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is seeking to recruit a Postdoctoral Research Associate (PDRA) in Large Language Models, based in the Natural Language Processing (NLP) group . The NLP group is internationally recognised for its work
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hand by the time of appointment. Preferred Qualifications: ● Experience in processing and interpreting visible-to-infrared hyperspectral imagery of Mars. ● Experience in integrating hyperspectral
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with industrial partners for process development Supporting the management of research and data infrastructure YOUR QUALIFICATIONS Research experience in macromolecular synthesis, and soft matter physics
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coupled particle-and-field stochastic processes following a path integral approach that combines Doi-Peliti and Martin-Siggia-Rose field theories. This method will be applied to model complex stochastic
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- impact scientific and educational initiatives. Aptitudes Compétences Connaissances very good analytical and problem-solving skills strong expertise in deep learning, computer vision, and generative models
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language of the Research Unit), good communication and teamwork skills. Knowledge of Czech language (the working language of the University) at least at level B1 can be beneficial, but not mandatory. Strong
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well as the processing and nano-/microstructuring of ceramic materials Knowledge development and knowledge transfer in the field of electron microscopic characterization of inorganic materials (metals, ceramics
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on identifying and discovering patient sub-cohorts within an electronic health record database. This discovery process will take place via the design of deep clustering algorithms based on state-of-the-art
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). Experience in the processing and analyses of kinematic, kinetic or EMG/EEG data. Proficient at programming in Matlab, R, and/or similar programs. Good communication and writing skills. Good organizational and
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+ years microscopy/single-cell analysis experience; NCN compliance; Jagiellonian University as primary workplace; good English proficiency (speaking/writing); willingness to mentor students and collaborate