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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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to building our profile in modern computational statistics and statistical machine learning, as exemplified in our new joint Master’s programme with Computer Science. In the position you are entitled to a
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course catalog and you will have the opportunity to participate in teaching at advanced level (PhD level and up). Requirements PhD in Bioinformatics, Computational Biology, Computer Science, or a related
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Science for Sustainability (WISE ). The WISE Fellow recruitment package includes salary for the recruited faculty member (4 years full-time) salary for two PhD students (4 years each) salary for two
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development of a new MSc in Chemistry program; contribute to the supervision of MSc and PhD students; contribute to applications for research funding and later take initiative to establish your own research
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framework as part of a joint research program. What will be your tasks? One of our research areas focuses on the variability of coastal and marginal seas across different timescales. Proxy- and model-based
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approximately 60 employees and is responsible for two Master of Science (MSc) programs, two Bachelor of Science (BSc) programs, and one Bachelor of Science (BSc) program. We also have courses in teacher education
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aimed at building a high-performance quantum computer based on superconducting circuits. Our team includes a dynamic mix of PhD students, postdocs, and senior researchers working collaboratively
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the Bachelor's Programme in Criminology and the Master's Programme in Cultural Criminology. Teaching is primarily conducted in Swedish, but may also occur in English. Eligibility According to Lund University's
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environments. • Self-motivation and curiosity, with a strong drive to explore new research directions independently. The following education, experience and expertise are required: A PhD degree in bioinformatics