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Field
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with
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: The successful candidate will work primarily on the following sections of the project. Data analysis: In conjunction with Dr. Deborah Maia de Lima and Dr. Claudia Mitchell, the candidate will : 1) Transcribe and
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a bachelor of pharmacy degree and a Ph.D. degree in pharmacy will be preferred. They should have a strong quantitative and qualitative background; experience in analysing epidemiological data using R
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, and synthesize experimental results; prepare data for lab meetings, publications, and presentations 4. Collaborate with the lab technician and external partners to coordinate experimental workflows and
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protocols and generation of data, we can offer a challenging job in a dynamic research environment. The successful applicant will be placed in the research unit Ruminant Nutrition: https://anivet.au.dk/en
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for spectroscopic analysis Analyze data and collaborate with project partners Maintain and operate advanced spectroscopic instrumentation Assist in laboratory organization and support training of junior researchers
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publication record • Commitment to the maintenance of an inclusive work environment Position Information: This position is expected to start on July 14, 2025, or at a later time on mutual agreement. This is a
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conducts specialized and advanced research experiments as above. Evaluates and analyzes data, establishes new research protocols and procedures. Summarizes research findings and publishes results in research
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practices (e.g., Buddhism, you will have a track record of interdisciplinary work at the nexus of artificial intelligence and neuroscience. Experience collecting multi-modal neurophysiological data would be