113 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" PhD positions in Sweden
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)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create multimodal systems. The emphasis is
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drug development with the mission to translate academic discoveries into drug candidates for further commercial development. The operation, which has been in place for ten years, has contributed to 15
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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. The application must be written in English. During the recruitment process, interviews, tests and other assessment tools may be used. You apply via the university's e-recruitment system and the
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identify systems-level mechanisms in cancer that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. The long-term goal of our lab is to enable computer-aided design of
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team of researchers in an European project. As a main topic, you will perform your research in one of these areas: -Data model translation, to enable the automatization of the engineering process
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structures and their dynamics to characterise the function and structure of key reaction intermediate will allow you to truly elucidate the processes of H2 catalysis in [FeFe]-hydrogenases and N2 reduction in
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biology. The applicant should also have an interest in learning, or previous experience in, computer programming, particularly using languages such as Python. The ideal candidate is driven and a creative
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, computer engineering, human-computer interaction, or equivalent by 2025-07. Demonstrate proficiency in English (reading, writing, speaking). Show the ability to work independently as well as in a team. Good
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models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based methods in fluid dynamics and heat transfer to study multiphase