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Generations. Your tasks The selected candidate will be part of the Minerva Fast Track Research Group led by Dr. Irene Domenici. The group will explore the role of constitutional and public law in safeguarding
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programs, with three years of funding, in collaboration with the University of Göttingen. Masters students aiming at a fast track PhD are also welcome. The Postdoc position is limited to two years with a
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) infrastructures is advantageous Excellent analytical and problem-solving capabilities Proven track record of publishing in reputable scientific journals and at the leading conferences Ability to effectively work in
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scientists. Applicants should hold a Master’s in biology or a related field as well as a PhD in this scientific area, with a track record of publications in peer-reviewed journals. Applicants should have
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consortium partners Your Profile: Excellent PhD in electrical engineering, computer science, or a related field Proven track record of high-level research, demonstrated through peer-reviewed publications and
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disciplines (typically mathematics, physics). For Postdocapplicants: Excellent track recordin computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one
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or related fields Expertise in advanced neurofunctional assessments and methods (e.g., computer vision, bioacoustics, machine learning/AI, neuroimaging, eye-tracking, multimodal data fusion) Excellent
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Competency in visualizing and analyzing large-scale datasets using software tools like Matlab, IDL, Ferret, Python, or R Merit criteria: Proven track record of publishing high-quality articles in peer-reviewed
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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criteria: Proven track record of publishing high-quality scientific articles in peer-reviewed journals. Excellent command of written and spoken English. Proficiency with advanced statistical methods