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solid state. We teach in the core subjects of general, analytical, inorganic, materials, polymer and organic chemistry ̶ from undergraduate to doctoral level. The doctoral position is connected
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specialization. Requirements We are looking for candidates who have: Solid analytical and mathematical abilities Experience with machine learning Experience with formal language theory or automata theory Strong
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program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en
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matter’ of biology, under-studied owing to the historical lack of preparative and analytical tools to probe the local molecular composition and transient interactions of molecules within glycocalyces, and
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demonstrate the ability and eagerness to learn new methods and a strong interest in developing both experimental and analytical skills. On a personal level, we are looking for a collaborative and engaged
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learning (vocational competence, workplace learning, assessment) Doctoral candidates have the freedom to design a dissertation project related to these themes. Mandatory courses and participation in regular
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value chains to enable AI-based applications, using methods and models from e.g. operations research, data analytics or artificial intelligence/machine learning. Identify, structure and prioritise
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, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also committed to building a safe and positive
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning
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learn experimental and computational approaches to tackle fundamental biological questions with medical relevance using innovative system-wide techniques. You will work on an exciting multidisciplinary