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working with 3D Image analysis in collaboration with users from many different fields. A central part of the team’s activities lies in creating new tools using machine learning enabling better and faster
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candidates in any field of machine learning theory, algorithms and computation or in AI applications in e.g., the social, neuro, or natural sciences, are encouraged to apply. The position comes with a start
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for designing, discovering or characterizing advanced materials, preferably combined with a strong expertise in AI-accelerated materials discovery, e.g., machine learning, graph-based models, generative AI, data
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chance to start a research group within thermodynamics or machine elements – as well as to support our existing activities within materials research. Our section is diverse in nationalities, personality
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on critical applications (both human and machine type). General knowledge of the physical layer is expected, but the main research will focus on the protocol layers above. General knowledge is also
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learning and their application for the life sciences industries. The research aims to advance computer-aided methods for the design, scale-up and optimization of processes and systems for life sciences, bio
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engineering, and application of machine learning in chemistry are particularly encouraged to apply. Responsibilities and qualifications The main purpose of the position is to strengthen and expand
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engineering, and application of machine learning in chemistry are particularly encouraged to apply. Responsibilities and qualifications The main purpose of the position is to strengthen and expand
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projects by: Analyzing sensor data and comparing it with established standards. Utilizing machine learning techniques to identify and interpret data patterns. Collaborating with a multidisciplinary team to