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. The position is aimed at a method-oriented researcher interested in developing and applying computer vision–based methods in real-world settings. The project is part of the European Partnership on Animal Health
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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integration. Strong communication skills and a collaborative mindset. Knowledge, Skills, and Abilities Solid knowledge of power-system analytical methods (power flow, economic dispatch, state estimation
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia relating to the Zuccolo Group research
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. The focus will be on developing and automatically learning new methods for efficiently solving planning tasks. The projects will involve both theoretical and experimental work. Qualifications To be qualified
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extensive epigenetic, genetic, and phenotypic data, applying cutting-edge analytic methods to uncover the biological underpinnings of mental health. You will contribute significantly to the Dunn Lab’s
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methods, enabling precise midIR spectral measurements from blood rich skin layers. Your work will bridge measurement physics and biomarker estimation: you will transform raw optoacoustic signals into robust