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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
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). This position offers a unique opportunity to collaborate closely with researchers across the Division of Marine Technology at Chalmers University, with a focus on maritime transportation risk analysis. Project
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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processing Programming skills (e.g. Python or MATLAB) Statistical analysis A strong publication record * The date shown in your doctoral degree certificate is the date we use, as this is the date you have met
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engineering, antenna systems, signal processing, image analysis, automatic control, automation, mechatronics, and communication systems. With a dynamic and international environment of around 250 employees from
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work will involve both chemical analysis and mathematical modeling. In addition, you will be responsible for writing research papers and sharing your findings. You will also collaborate with partners
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applications, specifically targeting the prognosis and risk prediction of Heart Failure (HF) in patients. This research integrates AI safety, explainability, and multimodal medical data analysis to enhance
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thermal analysis (DSC, TGA). Additional experience in rheology, vibrational spectroscopy (IR, Raman), and X-ray diffraction (WAXS, SAXS) is a plus. Excellent collaboration skills, due
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, spatial analysis, computational modeling, is highly meritorious. Documented scientific skills, including demonstrated ability in independent research, publishing in top journals and presenting in