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hypotheses and conduct statistical analyses Prepare manuscripts for publication Your profile Applicants must have a PhD in psychology, human behavioral ecology, cognitive science / neuroscience, biomedicine
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PhD degree in the area of medical sciences, statistics, psychology or other relevant disciplines or a foreign degree equivalent to a PhD degree in these areas. The degree needs to be obtained by
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The person who is to be employed as a postdoctoral fellow must be eligible according to the requirements described in Mittuniversitet's employment regulations . Applicants with a PhD degree in environmental
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research in the Humanities Lab in close collaboration with, and under the leadership of, professor Panos Athanasopoulos . There are currently around 15 linguistic PhDs and 6 PhD students employed by
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, computer science, statistics, artificial intelligence, data analytics, biomedical engineering or allied subject areas. Research expertise in statistics, machine learning, deep neural networks, time-series analysis
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abilities. Required Knowledge, Skills & Abilities A PhD in epidemiology, neuroscience, aging research or similar. Bioinformatics, biology and similar backgrounds will be considered only if coupled with proved
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. The research team is led by Assistant Prof. Camila Consiglio, and includes a research engineer, one project assistant, one MSc and one PhD student. As a workplace, we are committed to creating a respectful
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into account. Qualifications Requirements: PhD degree in engineering, bioinformatics, statistics, computer science, mathematics, computational biology, or a related discipline. This requirement needs to be met
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mathematics, statistics, data science or related disciplines or a foreign degree equivalent to a PhD degree in the above subjects. The degree needs to be obtained by the time of the decision of employment
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. Research experience of working with community data or molecular data is meriting. Good knowledge of statistical analyses and R (or equivalent programming) along with a strong publication record (in relation