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(iii) complex architectures with tightly coupled components hinder modular adaptation. To address these limitations, we research a physics-guided machine learning framework that integrates physical
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offers excellent researchers who have recently completed their PhD the chance to continue their research career at CTU. Fellows receive a two year fellowship and become members of a team led by a mentor
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, dimensionality reduction and/or machine learning methods (e.g., Lasso, ridge regression) is highly desirable. Familiarity with neurostimulation, Parkinson’s disease, or neuropsychological assessment tools is
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that preserves object identity or style. They should have a solid publication record in top-tier computer vision conferences such as CVPR, ICCV, or ECCV, and demonstrate proficiency in deep learning frameworks
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25 Feb 2026 Job Information Organisation/Company Czech Technical University in Prague Research Field Physics Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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, the CTU Global Postdoc Fellowship. This new and attractive two-year fellowship-program offers excellent researchers who have recently completed their PhD the chance to continue their research career
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experiments assessing zooplankton–cyanobacteria interactions., Learn to prepare samples for mass spectrometry analysis, Bioactivity guided fractionation and isolation of the cyanopeptides Collaborate with
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assessing zooplankton–cyanobacteria interactions., Analyse cyanobacterial morphology using microscopy, Learn to prepare samples for mass spectrometry analysis, Assess strain-specific effects of zooplankton
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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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Postdoc Fellowship. This new and attractive two-year fellowship-program offers excellent researchers who have recently completed their PhD the chance to continue their research career at CTU. Fellows