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learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide
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the function of novel proteins involved in innate immune processes against pathogens. We will use a combination of computational and experimental methods. The position is aimed at a candidate with
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circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Candidates should hold a PhD degree in molecular biology or a related experimental life science
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approach may include mathematical modelling, differential equations, dynamic programming, optimal switching theory, classical optimization, numerical solution methods, and programming. You will carry out
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methods and examination formats in relation to anticipated study results and the nature of the subject experience of collaboration with the surrounding society in planning and implementation of education
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publications, presentations). Qualifications You need: A PhD degree in computer science, mathematics, or engineering physics, preferably with a focus on data analysis, AI trustworthiness, human robotics
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your publications. A copy of the PhD certificate and other relevant degree certificates. Other relevant documentation you wish to include in support of your application. If there are questions, please
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but also of related administrative matters. A PhD in a relevant field is required. Strong record of success in your own research career (documented by e.g. peer-review publications) and in research
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and examine students at every level of education an ability to vary teaching methods and examination formats in relation to anticipated study results and the nature of the subject experience of
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: Ability to plan, implement, and evaluate teaching, as well as to supervise and assess students at all levels of education Ability to vary teaching methods and examination formats in relation to intended