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This postdoc position is a full-time temporary employment for two years. Application Procedure Please submit your application in English as PDF files according to the instructions below. Each file should not
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: electrochemistry, Hydrogen/Oxygen Evolution Reactions, laminated 3D materials synthesis, 2D materials synthesis and characterization. You should have excellent written and spoken English; and should be self-driven
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efficient remediation technologies. At the same time, current recycling processes are greatly complicated by the presence of pollutants (chemical treatment products, heavy metals), which calls for further
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on gender equality for excellence . Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be written in English and be attached as PDF
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collaborations with leading groups in academia and a direct connection to industry. Quality of Life: Enjoy the vibrant cultural scene and beautiful natural surroundings of Umeå. Qualifications PhD in Materials
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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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courses to help you settle in. Contract terms This postdoc position is a full-time temporary employment for three years. Application Procedure Please submit your application in English as PDF files
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freedom to develop related research questions in collaboration with the research team. A detailed research plan will be co-developed together during the recruitment process. You will join a vibrant
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other members of the Swedish Museum of Natural History such as Knud Jønsson, Martin Irestedt, Johan Nylander. Qualifications Have completed a PhD, or have acquired equivalent qualifications in Sweden
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data and clinical information. Applicants must hold (or be close to completing) a PhD in a relevant field and have expertise in modern computer vision and AI research. Experience with biomedical data