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-month, non-tenure track, appointment. Required Qualifications Earned PhD, ScD or DrPH in public health, epidemiology, biostatistics, statistics, mathematics, data sciences, or computer sciences, or a
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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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proven track record and an independent working style. Your Profile The successful candidate should have a PhD and should have a strong scientific background in electrophysiology and fiber photometry or Ca2
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independently to plan your own work and objectives. The appointment is viewed as a training or transitional period preparatory to an academic, industrial, governmental, or other full-time research or teaching
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projects Furthermore, it will be considered an advantage if applicants can document a track record of research publications of a high international standard commensurate with the length of the applicant’s
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for presentation at conferences and workshops under the direction of the Principal Investigator or Grant-holder. To assist with the development of research objectives and proposals. To conduct individual and
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: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science
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the group webpage (www.damtp.cam.ac.uk/user/gold/ ). Duties include developing and conducting individual and collaborative research objectives, proposals and projects. The role holders must be able
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with Dr. Kate Hoffman to define and lead specific research objectives aligned with the funded aims. Responsibilities will include project management, coordination of data collection and analysis
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to fast-track scientific discoveries into innovations that improve the quality of life for people in Oregon, the nation, and the world. The campus creates the intellectual infrastructure to establish Oregon