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Field
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). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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required to create a holistic picture. Such additional information can improve the performance, help to reveal biases, or may enable to perform causal inference. We are interested in developing statistical
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execution, along with associated computational competence (Please note: this specific job is not suitable for computational-only scientists) Strong track record in scientific communication, as evidenced by
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required. Very good English skills, both written and spoken, are also required. The successful applicant has a proven track record of excellent publications. Strong taxonomic knowledge in marine
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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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) 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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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