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27.06.2025 Application deadline: 15.08.2025 We are seeking an exceptional Postdoctoral Researcher – Evaluation Methods in NeuroAI (m/f/d, E13 TV-L, 100%) to develop statistical methods and
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. Qualifications: Required: PhD in Materials Science or Engineering, Manufacturing Engineering, Mechanical Engineering, Civil Engineering, Structural Engineering, Chemical Engineering or a related discipline
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taken into consideration. A suitable candidate will have a PhD in sociology, computer science, economics, statistics, political science or a corresponding subject of relevance to computational social
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to neurovirulence. Preferred Qualifications: PhD or Postdoc experience in Flavivirus research. Experience in BSL3 with neuropathogenic viruses and ABSL3 murine models. Two (2)- Five (5) years of molecular biology
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Posting Number 25FA0369 Posting Open Date Posting Close Date 01/05/2026 Qualifications Minimum Education and Experience A PhD or PsyD in clinical psychology or closely related field Experience working with
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for quality control, supervision of data entry/data analysis, analysis of research hypothesis using descriptive and multivariate statistics, and the development of independent and collaborative presentations
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Your profile PhD in psychology, with a focus on at least one of the below areas: Cognitive psychology Differential psychology Neuropsychology Evaluation and Assessment Methodology and Statistics Interest
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Responsibilities Minimum Qualifications Preferences The position is for a highly motivated individual with 0 to 2 years of postdoctoral experience. Candidates should hold a PhD and demonstrate a strong background in
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, mathematical statistics, or operations research. The PhD degree should normally have been awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish
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training and guidance to junior undergraduate and graduate students. Education: A PhD in Neuroscience, Computational Neuroscience, Machine Learning in image analysis, or a related field, with significant