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Source (ESS), Sweden, the European Molecular Biology Laboratory (EMBL), Institut Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the
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will advance our understanding of the next-generation colloidal systems. Your profile Applicants should hold a PhD in organic or polymer chemistry, or similar. You have extensive experience in organic
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Electrophysiological signal processing of, e.g., EEG, ECG, EMG, etc. Health data science, incl. modern machine, and deep learning methods, Cloud-based platforms like MS Azure or Google Colab Health data standards, like
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metabolomes (targeted and untargeted) and plant transcriptomes In addition to collaborating with project partners, you will join an active and expanding community of PhD and Postdoc students in the plant
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leading experts worldwide. Aarhus – a vibrant university city by the sea, combining rich cultural life with easy access to nature. Qualifications PhD in mathematics (completed or expected before start date
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motivated and enthusiastic scientist with the following competencies and experience: Essential experience and skills: You have a PhD in neuroscience or related field. You are highly experienced in
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thermomechanical process simulations such as casting and welding. The research activities at SDU-ME spans widely from fluid mechanics, condition monitoring, machine learning, fatigue, maritime structures
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. theses at the interface between structural engineering and machine learning. You will disseminate your research through peer-review publications and participation in international conferences. You will
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in ion transport and (2) using machine learning methods to design protein binders. The incoming postdoc will have the opportunity to mould the project to a significant degree. The candidate should have
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering