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-based methods to improve cancer therapy Your profile Qualifications PhD in bioinformatics, computer science, biology, medicine, or mathematical statistics. Experience in cancer research and analyses
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artificial intelligence (AI)/Machine Learning (ML) with a focus on life science, or alternatively, life science with a focus on AI/ML (or equivalent). You will work closely with researchers, engineers, and
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, including high-throughput screening, high-content imaging, omics technologies, and computational approaches, to elucidate mechanisms of toxicity. Ultimately, our work contributes to a deeper understanding of
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instruments as well as scientific writing. Qualifications The requirements for the position are: Adequate university degree (e.g. MSc in molecular biology, biomedicine or equivalent) PhD from relevant research
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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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research environment is characterized by a modern and advanced methodology and has a strong international profile. The institute has 30 research groups with a research staff of 200, of which 60 are PhD
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Project description Third-cycle subject: Biotechnology We are seeking a motivated PhD student to join our lab at KTH/SciLifeLab in Stockholm, focusing on precision medicine and cancer progression
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Project description Third-cycle subject: Biotechnology We are seeking a motivated PhD student to join our lab at KTH/SciLifeLab in Stockholm, focusing on precision medicine and cancer progression
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Spatial Biology The PhD student’s research activities will focus on laboratory
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-based environments. You have a PhD in molecular biosciences or equivalent relevant field and have experience of administration at a university or equivalent academic environment, and you are ready to take