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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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individuals with suicidality. Completed APA-Accredited internship Basic competency in statistical analysis of clinical data Proficiency with Qualtrics Previous experience conducting diagnostic evaluations (e.g
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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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applicants for a 6-month paternity leave replacement who have a strong interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental
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applications related to environmental systems and decision-making under uncertainty. Contact Information Project C Christian Ewald, Department of Mathematics and Mathematical Statistics, Umeå University
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informatics experience in large scale academic projects and/or industry environment. Strong grasp of study design, power calculations, and statistical methods, with scientific rigour in planning and
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experience Skills within statistical analysis Communication skills both in oral and written English and preferably also in Spanish Flexibility and self-motivation are desired skills at DTU We expect you to be
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, statistics are preferred but not required. Strong publication record in peer-reviewed journals Special Skills, Knowledge, and Abilities: Successful applicants will be collaborative, curious, and highly
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or study coordination, or at least active involvement in human studies during your doctoral studies Advanced knowledge in statistics and scientific publishing Experience with methods such as BIA
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Psychology, Cognitive Sciences, Modeling and Simulation, Computer Science, Measurement and Statistics, or a related field is required. The candidates must have research experience in one or more areas