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applied empirical work, to study individual and strategic decision-making, market behavior, and policy-relevant questions. Using experimental methods, econometrics, and statistics, we aim to generate
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, economics and AI conferences. Job Requirements: PhD in Fintech, Finance, Economics, Statistics, or related field. Very strong quantitative background (for example a Bachelor in Statistics, Mathematics, or a
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University, a community of labs examining brain, mental, and physical health across the lifespan. MINIMUM QUALIFICATIONS Phd in Cognitive Neuroscience, Developmental Psychology, Psychology, or related field
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to these values and are looking for a Research Fellow who has: PhD in Psychology, Neuropsychology, Neuroscience, Sleep Science or a closely related discipline demonstrated experience conducting research in sleep
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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lead the design, statistical optimisation and validation of assays for clinically relevant bladder cancer targets. Their central objective will be to develop an algorithmic workflow to detect new target
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collaborators where access, specimen design and image quality permit. Analyse longitudinal and group-comparison data using transparent and reproducible statistical workflows. Write scientific papers and a PhD
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 13 hours ago
of African descent. Black applicants who also identify as members of 2SLGBTQIA+ communities are especially encouraged to apply. Required Qualifications A completed PhD, or PhD completed by the appointment
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Research Fellow who has: PhD in Psychology, Neuropsychology, Neuroscience, Sleep Science or a closely related discipline demonstrated experience conducting research in sleep, ageing, cognitive neuroscience
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prevail. Required qualifications: The successful candidates must have a recent PhD (or a PhD by the time of the appointment) in statistics, mathematics, or a related field. Candidates should show