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Field
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need, this may be prepared from published field operation data, laboratory measurement or other sources. Machine learning can be used to select the bet data set for each particular cases covering
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inference methods, survey design, and/or machine learning Experience with web scraping and API-based data collection Organizational and coordination skills, such as assisting in drafting terms of reference
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epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
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(written and spoken) The successful candidate is expected to move to Bergen Desired Qualifications: Experience with Stata Experience with causal inference methods, survey design, and/or machine learning
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patients Experience with clinical data collection Familiarity with epidemiological methods and registry-based research, epigenetic analyses or machine learning. Interest or experience in science
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registry-based research, epigenetic analyses or machine learning. Interest or experience in science communication and public engagement Experience with publishing biomedical papers Experience with open
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if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty’s doctoral program (PHBIOT ) Excellentcommunication skills in oral
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large datasets, and applying AI approaches (e.g. machine learning, image segmentation, multimodal AI data integration) will be considered advantageous. Strong skills in communicating scientific results
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that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty’s doctoral program (PHBIOT ) Excellent communication skills in oral and written English
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degree. Grade average of B or better (or equivalent score) is required both for the program in total and the master’s thesis. See admission requirements: PhD in Biosciences. The PhD will oversee planning