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Postdoctoral candidate in the scientific field of Law at the Department of Civil Procedure Law Where to apply Website https://pravri.uniri.hr Requirements Research FieldJuridical sciencesEducation LevelPhD
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, skills, and abilities related to the position. Successful candidates typically begin up to mid-point of the salary range. This is a full time (100% FTE), temporary position. This position is overtime
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Job description Living systems process and respond to signals, and these responses range molecular or electrical changes inside a (neuronal) cell to macroscopic behavioural responses of animals
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for research. Research experience in wireless communications, signal processing, information theory, or related areas. Preferred Qualifications: Research experience in machine learning for wireless
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: The Nanobioelectronics and Biosensors group at ICN2 is focused on the development of cutting-edge sensors for various point-of-need applications. The group of Prof. Arben Merkoçi are internationally recognised world
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or other citizenship, - certificate of fluency in Croatian (for foreign citizens), - official transcript of records with the grade point average for the previous studies without the final
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from neuromodulation studies; specific experience analyzing fMRI BOLD signal data; specific experience analyzing MRI structural and tractography data, particularly with a focus on deep brain About the
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multidisciplinary way and with a unique infrastructure to research the dynamic processes of the Earth system. Our vision: “Taking the pulse of the Earth to safeguard a habitable planet.” For section 4.4 "Hydrology
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Postdoctoral Researcher (f_m_x) - Hydrology (advanced data analyses and innovative experimental w...
Helmholtz Association of German Research Centres | Potsdam, Ohio | United States | about 2 months agovarious other datasets Methodological developments for the identification of SSF signals Development of signal processing routines for high-frequency measurements Installation and optimisation of monitoring
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of Dentistry, Oral & Craniofacial Sciences at King's College London. Our methodological work spans trustworthy AI, multimodal machine learning and statistical signal processing. Our translational work applies