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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning
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Swedish, both written and spoken language. A personal letter and a letter of intent in which you describe your merits in relation to the stated qualifications must be attached. Your workplace Department
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chemistry or environmental technology. Alternatively, A high school (gymnasium) teacher education with a focus on natural sciences with several years of experience teaching in a natural science or technical
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experts, systems engineers, natural and social scientists carrying out research on solutions to major environmental challenges. We also collaborate with international organizations within both academia and
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requirement for English equivalent to English B/6. Selection In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates
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need Requirements for the position are: A doctoral degree in a relevant field including experience of high-performance computing, machine learning or artificial intelligence A strong track record of
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. The applicant should be proficient in written and spoken English, and have good computer skills (e.g Word, Photoshop, BioRender, Excel). Also, it is important that the candidate demonstrates independence, as
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in. Discover more Find more general information about doctoral studies at Chalmers here . Application procedure The application should be written in English be attached as PDF-files, as below. Maximum
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, or acquired, in some other way within or outside the country, substantially equivalent knowledge In addition to the above, there is also a mandatory requirement for English equivalent to English B/6. Selection
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the integration of AI components transforms the nature of software systems (SE4AI). From an architectural perspective, the research investigates how the inclusion of AI elements—such as retrainable ML models, LLMs