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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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Extensive knowledge of relevant machine learning and AI techniques Self-motivated individual with ability to work independently Teaching and mentorship abilities or interests in personal development A
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) training personalized computational models in new contexts, and (iii) studying in-silico clinical intervention strategies. The postdoctoral fellow will have the opportunity to: Learn about computational
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. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in time and space, how this affects
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promising properties. The project could be combined with experimental work if this is a fit for the applicant. Your profile To be eligible for employment as a postdoctoral researcher, a PhD or a foreign
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includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity
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Ph.D. degree or a foreign degree equivalent to a PhD degree in a relevant field. The degree must be completed no later than the time the employment decision is made. The doctoral degree should
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. Selection criteria Essential PhD in computational biology, bioinformatics, or computer science with a focus on human gut microbiome data Excellent written and oral English communication skills. Significant
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are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and what it’s like to work and grow at KTH. Trade union representatives
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an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and what it’s like to work and grow at KTH. Trade union representatives Contact information to trade