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construction of optical diffraction tomography or quantitative phase microscopy systems. Experience in the development of fluorescence-based super-resolution microscopy methods such as structured illumination
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with pixel detectors construction, and electrical test-systems, and to some extent with test beams, data analysis and development of mechanical systems. She or he will be required to interact in
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structured manner. Applicants must have good collaboration skills and the ability, willingness, and commitment to work in a multidisciplinary team. Admission to the PhD programme at the Faculty of Law requires
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are eligible to apply. Personal skills We are looking for highly motivated and structured candidates with excellent laboratory skills and excellent collaborative qualities. The successful candidate is positive
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independently and in a structured manner. Applicants must have good collaboration skills and the ability, willingness, and commitment to work in a multidisciplinary team. Admission to the PhD programme at
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structured candidates with excellent laboratory skills and excellent collaborative qualities. The successful candidate is positive-minded, well organized, looking forward to learning and developing new
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Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural
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statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural equation modeling). Familiarity with the opioid and endocannabinoid system and topics related
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and in a structured manner have good collaboration skills and the ability to contribute to the development of this scientific field be able to take initiative and actively participate in the development