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objective will be to develop algorithms for predicting and planning the evolution of local energy systems (microgrids) over a time horizon of several years, using machine learning and numerical optimization
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expected to contribute to teaching in forest pathology at basic and advanced level courses at SLU. Qualifications: The successful candidate should hold a PhD Forest Pathology or similar subject. The
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, this project aims to develop defect engineered manganese-based electrodes with tailorable features for RZAB. Using a combination of diffraction, microscopic and spectroscopic tools, structure-function
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inspection systems. In joining our team, we aim to help students develop their technical and non-technical skills, such as the ability to communicate effectively particularly with industry partners. Funding
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; Collaboration: Collaborate with cross-functional teams to support interdisciplinary research projects; Documentation and Reporting: Prepare technical reports, presentations, and publications for internal and
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to develop teaching expertise and gain experience will be offered. The 4th year will include 50% teaching activities. Project Description The Institute of Security and Global Affairs (ISGA) seeks to appoint a
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this project we will investigate and develop innovative statistical techniques in pharmacometrics. We will focus on improved modeling procedures for including patient-specific covariates in models, as
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relevant teaching activities. Selection Criteria The successful applicant should be a motivated university graduate who is a top performer among his/her peers and has an excellent education and/or research
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independent and collaborative research in the field of heterogeneous catalysis Design, synthesize, and characterize novel catalytic materials Develop and optimize catalytic processes for the production
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neuropeptides, Kp10 and 26RFa, which could stimulate the steroidogenic activity of Leydig cells in the testis. Furthermore, in order to get closer to physiological conditions, we would like to develop a