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on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based methods in
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independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your leadership and pedagogical skills. Throughout
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, including: development of AI models and methods for energy systems integration of the AI agent with energy system models methods for transparency, explainability, and uncertainty handling applications in case
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admission, the applicants’ merits from prior education are the main basis for assessment. Breadth, depth, and relevance, as well as elements of independent work, shall be taken into account. Terms and
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assignments Your tasks will be to carry out research using advanced theoretical and computational methods within quantum mechanics and statistical physics with the aim to study novel materials synthesized
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own research question within this area. The project is mainly intended for quantitative methods but is to some extent also open to qualitative methods. As a doctoral student, you will read doctoral
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offline. The project employs a multi-method qualitative approach, combining interviews with gang-related individuals and stakeholders with a hybrid ethnography that observes gangs’ presence and practices in
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and methods for energy systems integration of the AI agent with energy system models methods for transparency, explainability, and uncertainty handling applications in case studies related
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relevance, as well as elements of independent work, shall be taken into account. Terms and conditions As a doctoral student at Lund University, you are both admitted as a student and employed. The position is
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data