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: • Conducting substantive, methodologically rigorous quantitative research analyses • Participating in study design, quality assurance testing, documenting coding methods, and interpreting results
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will join Andrej Prša’s research team and work on the PHOEBE code , developing the modeling proxy based on artificial intelligence (AI). The goal of the AI-powered model is to enable the autonomous
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will join Andrej Prsa’s research team and work on the PHOEBE code , advancing our understanding of the processes in contact binary stars. In parallel, the applicant will be given an opportunity to teach
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about data assimilation and calibration of models based on observational data. Experience in using Github or other platforms for version control and collaboration on code development Fluent oral and
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publications and/or dissertation or equivalent evidence of expertise and completed research outputs Data science skills, especially data analysis and prediction modelling Proven ability to write code in Python
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research outputs Data science skills, especially data analysis and prediction modelling Proven ability to write code in Python Experience working in a research team Excellent writing and communication skills
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. Salary in position as Postdoctoral Fellow, position code 1352 in salary range NOK 595 000 - 674 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory
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mechanisms underlying gene regulation within immunological disease models. This will include pooled and arrayed CRISPR screens in combination with the interrogation of coding and non-coding human genetic
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Organization U.S. Department of Defense (DOD) Reference Code DCPH-A-2025-0011 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The Department
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Proficiency – Strong skills in machine learning, federated learning, and biometric systems, with practical coding proficiency in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow). Problem Solving