301 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions at University of Oslo
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bioinformatics. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292274/phd-fellowship-in-nuclear-organization-in-breast-cancer Where to apply Website https://www.jobbnorge.no
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Value conflicts and tensions in the life sciences and its different epistemic cultures and evaluative principles and practices. For more information and how to apply: https://www.jobbnorge.no/en/available
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machine learning. Colourbox via Unsplash Colourbox What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities
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. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning models that forecast
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with respect to academic credentials. Required qualifications: Master’s degree or equivalent in mathematics, physics, control, cybernetics, computer engineering, automation, or related fields. Foreign
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hypotheses related to metabolic rate increases, energy allocation shifts, temperature-dependent bioaccumulation, and varying toxicity across biological levels. For more information and how to apply: https
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and development of PhD candidates and postdoctoral fellows, including individually tailored career development plans with formal supervision and project-based learning. Secondments, consortium meetings
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, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies (mAbs) used in autoimmune, inflammatory, and neurological diseases. Using
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machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in topics such as
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, feasibility and application of theoretical and practical knowledge to better understand how humans have changed ecological systems over the last 6000 years. For more information and how to apply: https