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PhD project, the successful candidate will develop an open-source workflow using deep learning and hierarchical statistical models to streamline the data flow from acoustic recorders to ecological
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, supported by a good understanding of urban water systems, water quality, environmental chemistry and statistics. You should have experience in the development and application of water quality models, with
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language teaching (mother tongue and second language) at UiT. It also offers PhD programmes in linguistics, cultural/literary studies, art history, as well as media and documentation studies. The project
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information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse
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decision-making on Total Allowable Catch (TAC) and regional harvest strategies. This position operates at the interface of science, policy, and industry, translating complex ecological and statistical
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Requirements: 1) PhD in Chemical and Biological Engineering, Materials Engineering, Materials Science and related fields; 2) Meeting the requirements of Article 5 of the Research Grant Regulations
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: Understanding of basic statistical methods and data analysis techniques that can be deployed in real-world use case scenarios. Data visualization proficiency: Expertise in using data visualization tools like
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education and experience. Minimum Requirements: PhD from distinct engineering disciplines (in addition to Industrial and Systems Engineering) and related fields (e.g., computer science and statistics
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-Dec-25 Location: San Jose, California Type: Part-time Categories: Academic/Faculty Mathematics/Statistics Internal
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Experience M.D. or PhD Required Qualifications A qualified candidate must hold a doctoral degree in a relevant field such as biomedical engineering, computer science, public health, or a related discipline