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Field
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-affective processes, and contemporary approaches to modelling symptom network dynamics. A central objective of the project is to identify dynamic indicators of reduced resilience and maladaptive stress
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have a strong background in fundamental electrochemistry, with preferable hands-on expertise in computational materials science. The applicant should be well versed in code development, application of AI
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the International Research Training Group "Baltic Peripeties". This is an interdisciplinary network including researchers at all career stages from the fields of political science, history, literary and media studies
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network including researchers at all career stages from the fields of political science, history, literary and media studies, linguistics, and philosophy at the University of Greifswald, the University
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. Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within
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effectiveness and toxicity of the treatments. Other duties: Develop and validate cancer risk prediction models using deep neural networks based on semistructured data. Develop and validate learning strategies
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: Developing state-of-the-art neural networks to accelerate the development of formulations in the pharmaceutical sector. Collaborating on the implementation of these techniques within a company. Contributing to
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opportunities to network with highly skilled AI experts, clinicians and biologists. You will also have the opportunity to co-mentor undergraduate, Masters and/or PhD students. You are further expected to publish
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. Familiarity with statistical modelling, machine learning and deep-learning Additional information: We offer: 🌐The opportunity to work with our state-of-the-art HPC infrastructure and to join a vibrant network
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another relevant field. The doctoral degree may not have been completed more than five years ago at the time of starting in the position (a net period of time, which does not include parental leaves