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, and large language models (LLMs), for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics) and large textual corpora (e.g., scientific literature). Our
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candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental
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", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List
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areas is considered a merit: - Multi-modal data processing for decision-making in natural environments - Terrain classification and multi-layered environment mapping - Digital twin generation for natural
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crisis, often referred to as the ‘silent pandemic’. Most of the antibiotics in clinical use are natural products derived from microorganisms. Large-scale bacterial genome sequencing has revealed that most
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contribute to joint research efforts within the program. · Present your work at group meetings, conferences, and in high-quality scientific publications. · Contribute to the supervision of MSc and PhD students
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diversity and consider equality and inclusion as fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure
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and men. Project overview The project concerns applying supervisory control theory to security in a broad sense, both as off-line and on-line approaches. The work is collaborative in nature, bridging
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contact both, and Your profile PhD in Information Systems, Computer/Data Science, Software Engineering, Applied Mathematics, or a related field Experience in publishing high-quality research, as
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Worldwide R&D Projects. Previous experience in one or preferably more topics from these areas is considered a merit: - Multi-modal data processing for decision-making in natural environments - Terrain