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statistical methods such as dimensionality reduction and Bayesian modeling. This project offers access to a rich, curated clinical dataset and collaboration with leading neurologists, neurosurgeons, and data
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biomimetic fashion (e.g., emulation of sense of pain, withdrawal reflex). The final scenario will be reaching and grasping objects exploiting whole-body contacts, with no or sparse visual inputs. We will
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. The proposed modulation and control strategy should pursue the objectives of increasing the efficiency or reliability of the traction drive by means of suitably modified control based e.g.: on improved
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— the conversion of photon energy into matter via the multiphoton Breit-Wheeler process, enabled by the advent of multi-petawatt laser technologies. The primary objective of the project is to exploit the theory and
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complementary challenge: generating diverse image variations that preserve the identity and fine-grained appearance of a specific object. The variations may involve changes in background, illumination, viewpoint
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We are looking for highly-motivated researcher with a PhD in biomedical engineering, biomedical science, neuroscience, or related discipline: The applicant must have a proven track record in scientific
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Skills/Qualifications Successful candidates must have a PhD in Physics, Chemistry, Materials Science, Electrical Engineering or closely related disciplines. Prior publication track record in impacted
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, bioinformatics, or a related field Strong track record shown by publications in peer-reviewed international journals Hands-on experience with single-cell and/or spatial omics analysis (scRNAseq preferred
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, bioinformatics, or a related field Strong track record shown by publications in peer-reviewed international journals Hands-on experience with single-cell and/or spatial omics analysis (scRNAseq preferred
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@fel.cvut.cz Requirements Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications We seek highly motivated applicants with a PhD in robotics, AI, or related fields and a proven track