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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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PhD in electrical engineering (or related field), with specialization in radio localization, radar, sensing, signal processing, or machine learning Have completed your PhD no more than three years
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, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Work assignments This position is primarily a
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diseases. --- [Video about a Karolinska Institutet, how we work towards "a better health for all"] -- Application An employment application must contain the following documents in English or Swedish: PhD
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neuroscience to jointly understand how the human brain becomes vulnerable during injury, neurodegeneration and aging. Our recent work (Månberg et al. Nature Medicine 2021) showed that vascular and glial cells
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the availability of MeHg to be taken up in aquatic food-webs. Yet, the process remains to be fully understood and quantified in different types of lakes. A critical role is played by natural organic matter (NOM
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candidate with experience in aquatic ecology. In the selection process, special weight will be given to the applicant's research skills, as demonstrated by the quality of the applicant’s PhD thesis, published
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foundations in all activities at Chalmers. Application procedure The application should be written in English and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the
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-rich sequences. These intricate structures are thought to function as critical protein-binding sites, influencing essential processes such as transcription, replication, telomere stability, and DNA
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consequences on wildlife and human populations. Important biogeochemical processes are the transformation of inorganic Hg(II) to the bio-accumulating neurotoxin methylmercury (MeHg) and Hg(II) reduction to Hg(0