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in this project. Additionally, the student will be encouraged to collaboratively contribute to the further development of these methods. The PhD student will be supervised by Academy Fellow Dr. Gleb
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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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drug design” is led by Docent Juri Timonen, at the Division of Pharmaceutical Chemistry and Technology. Our aim is to create new machine learning and artificial intelligence methods to accelerate drug
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develop AI in scientific research in the context of DIVSOL. The candidate will also interact with various support services, e.g., research software engineers. In addition, the candidate will actively
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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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the context of DIVSOL. The candidate will also interact with various support services, e.g., research software engineers. In addition, the candidate will actively contribute to teaching and administrative tasks
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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drylands, and other pressing environmental issues. You will gain experience in working at unique research sites in iconic East-African savanna landscapes and learn about the state-of-the-art methods in
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% of annual working time). Requirements and eligibility criteria The Postdoctoral Researcher should have a PhD degree in computer science or bioinformatics (or related fields) with an emphasis on computational
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using unique novel mouse models, spatial technologies and analytical methods. Postdoctoral Researcher in Functional Cancer Microbiome through the NORPOD program NORPOD is a collaborative postdoctoral