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Postdoctoral Research Associate I, Psychology (Genetically Informed Studies of Social Connectedness)
Sign In Create Profile Postdoctoral Research Associate I, Psychology (Genetically Informed Studies of Social Connectedness) Tucson, AZ, United States | req24850 Apply Now Share Save Job Posted on: 1
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Geography Language sciences Juridical sciences Literature Religious sciences Arts Criminology Philosophy Sociology Ethics in social sciences Educational sciences Management sciences Psychological sciences
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% - Analyze the qualitative data generated by these interviews 10% - Develop and implement online psychological experiments 10% - Establish and maintain relationships with partner companies Required
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% - Analyze the qualitative data generated by these interviews 10% - Develop and implement online psychological experiments 10% - Establish and maintain relationships with partner companies Required
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technicians 10% - Analyze the qualitative data generated by these interviews 10% - Develop and implement online psychological experiments 10% - Establish and maintain relationships with partner companies
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staff ● An established scientific publication record ● Strong data management skills About the Department About the Department of Psychology: The Department of Psychology is one of the largest departments
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manuscripts. Applicants must be currently authorized to work in the United States Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A
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, applicants must have a PhD or PsyD in clinical, counseling, or school psychology and have completed an APA-accredited internship Preferred Qualifications: Preference will be given to applicants with
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. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access
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, Psychology, or related fields, and an interest in the neural mechanisms underlying motivated behavioral decision-making. A quantitative background, experience in imaging or electrophysiology, and proficiency