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optimal performance The PhD student will be supervised by Ida-Maria Sintorn, Professor in digital image processing, and Jens Sjölund, Assistant Professor in AI at the Department of Information Technology
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proficiency in English a structured, self-driven, independent approach to technical work and good collaboration skills coursework or other experiences in the following subjects are valued: optimization, linear
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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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algorithms. Our research integrates expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems
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will be part of Physical Chemistry research group at the Department of Chemistry – Ångström and will work in a project focusing on the development of a new time-resolved operando Soft X-ray spectroscopic
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from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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programs and master's programs. More information is available on our website . Read more about our benefits and what it is like to work at Uppsala University Duties We are looking for a motivated and
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focuses on leveraging zebrafish as a model organism to develop and optimize genetic tools through a directed evolution pipeline, with significant therapeutic and industrial applications. Key
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. There is growing interest in microsystems that can replicate the local physiology of tumors, providing a platform to identify and optimize therapeutic candidates. Our group specializes in developing
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical