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will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You
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Norwegian University of Life Sciences (NMBU), within the Faculty of Science and Technology(REALTEK), invites applications for a PhD position in Applied Causal Machine Learning. The position is affiliated with
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, and internalization studies. Plan, perform, and analyze preclinical biodistribution, PET, and SPECT imaging studies in mouse models. Investigate pharmacokinetic and pharmacodynamic properties of novel
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across relevant temperature, composition, and redox conditions, and translating these insights into predictive models for industrial application. You will design and conduct high-temperature equilibration
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approaches; experience in working with longitudinal designs is a plus. You can analyze datasets using R or are willing to learn R quickly. You are proficient in English and German, including the ability
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machine learning and conventional optimisation techniques. 2. To design and optimise magnonic primitives for wave-based neuromorphic computing, including programmable devices enabling nonlinear activation
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: Master’s degree in Electrical Engineering Ranked within the top 10% of their class in MSc and BSc, and have exceptional grades Good background in deep learning with familiarity in model training, inference
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Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and
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utilize low-grade waste heat. The project aims to develop methods for the design, optimization, and operation of integrated systems that maximize both economic performance and environmental benefits
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the planning and design of research projects, including the development of methodologies and protocols. Communication: Coordinate communication between project stakeholders, team members, and external partners