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knowledge in microbial ecology or ecology. You should show a keen interest in learning machine-learning and other AI methods. The working language is English and excellent communication skills in English
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, and statistic are merits as well as documented knowledge in microbial ecology or ecology. You should show a keen interest in learning machine-learning and other AI methods. The working language is
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biology, computer science or a closely related field that the employer deems adequate for the position good ability in a scripting language such as R or Python, as well as working effectively in a Linux
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language as well as experience with machine learning is required. Familiarity with some large-scale data analysis is desired. Experience with deep learning frameworks (TensorFlow, PyTorch, Keras, Scikit
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the deadline. Please include the following information with your application Your contact details and personal data Your highest university degree Your language skills Contact details for 2–3 references and, in
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, including around 45 PhD students, work at the department. New employees and students are recruited from all over the world and English is the main working language. The department is located at the Biomedical
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English, and must also be able to work independently as well as part of an interdisciplinary collaborative team. Candidates must be proficient in at least one relevant programming language, e.g., Python
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analysis and Large Language Models (LLMs) to develop robust predictive models for MS progression. It involves constructing and analyzing a complex network that integrates omic, genotypic, and clinical