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physiological acquisition systems; real-time data acquisition; motion capture or positional tracking; Bayesian or hierarchical modeling; reinforcement-learning models; effort-discounting or decision-making models
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datasets, including scRNA-seq, scATAC-seq, scCUT&Tag, HiC, and proteomics, with an emphasis on trajectory inference, regulatory dynamics, and cell fate decisions. A key goal is to integrate multimodal data
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(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
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. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor devices or metrology. We offer We offer a fully funded
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(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
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be related to the characterization and circular performance assessment of building envelopes in Europe, with a scope ranging from construction details and building archetypes to large-scale inference
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cancer biology, genetics, and epigenetics. The ideal candidate will have a proven track record of scientific excellence, demonstrated through high-quality publications. The position is available in
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, psychology, mathematics, or a related field. While you will bring your own specialization, you must possess: Strong analytical skills and a track record of planning and conducting empirical research
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models, acute brain-slice recordings, calcium imaging, and cancer research would also be particularly valuable. Applicants should also demonstrate a strong research track record, including at least one
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health. Excellent researck track and publication record are important. Good communication skills, enthusiasm, scientific curiosity, good organizational skills, rigor in experimental work and high level of