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positive attitude. You will be responsible for planning, executing and analysing data and should enjoy working in a vibrant and collaborative atmosphere. Your profile A PhD in a relevant field obtained
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practice or other forms of appointment/assignment relevant to the subject area. The successful candidate must hold a PhD in one of the following fields: mathematics, physics, computational science, or
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and organic solar cell devices. There will also be the opportunity to gain hands-on research supervision experience through the mentoring of PhD students, as well as formulating research projects
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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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initiative to develop a quantum computer based on superconducting circuits. Part of the project is also to solve specific problems related to this goal. A key challenge in this effort is mitigating errors in
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. Since this is a collaborative project, candidates are expected to have a keen interest in interdisciplinary research and excellent cooperation skills. More information about the positions Since
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following basic requirements: - Hold a PhD degree in plant biology with a focus on plant breeding, quantitative genetics, population genetics, bioinformatics or similar - Ability to carry out and complete
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, research and teaching are conducted in computer science, computer engineering, and informatics. We have two expanding departments in these areas, with around 50 employees. Your placement will be in
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Sweden’s largest museum. For more than 200 years, the museum has been collecting specimens and data and conducting research on life on earth. The collections contain more than 11 million plants, animals
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experimental and theoretical approaches. Requirements: Well-documented expertise in any of the following areas: next-generation sequencing data analysis (singe cell and spatial sequencing). PhD in