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Field
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analysis, weather forecasting, physics, and engineering. Verifying that such programs are correct is challenging because of rounding errors due to floating-point arithmetic. Possible research directions
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to prognosis. The training emphasises study design and statistical analysis. Work duties and responsibilities The main tasks of a doctoral student are to devote themselves to their doctoral education and
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Electrical Engineering, Engineering Physics, Applied Mathematics, Computer Science, Communications or similar. Strong background in mathematical analysis (multivariable calculus, probability, linear systems
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for efficient last-mile deliveries with a focus on climate and flexibility. Using advanced modeling and data analysis, you’ll create solutions that make final deliveries smarter and more sustainable. Your work
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algorithms for Bayesian machine learning with applications in e.g., medical image analysis. The doctoral student position is offered within the machine learning project “The Challenges for Machine Learning in
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experimental work, data analysis, and compilation of results. The position is within the field of translational cancer research. Additional tasks may be assigned within the scope of the position. Qualifications
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factor in the design of the project. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. A person who is employed as a PhD student
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of classic and quantum physics, and proficiency in mathematical modeling/analysis, good communication skills with sufficient proficiency in oral and written English excellent study results programming
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well as at field stations. Our activities are strongly profiled towards research, data collection and analysis of fish, fisheries and aquatic ecosystems. The department is characterized by an extensive collaboration
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of their biological counterparts. This project aims to overcome these limitations through a synergistic circuit–device co-design that jointly optimizes both circuit architectures and component properties, ensuring