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Program for Data-Driven Life Science (DDLS ) and the student joins its research program . Supervision: Associate Professor Hossein Azizpour What we offer Admission requirements To be admitted
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for Assistant Professors with an international background. Our ambition is for you to be nominated for this programme, as one of Lund University’s candidates of excellence. Read more about the Swedish Research
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candidate will have overall responsibility for education in Lund in the subject of anesthesiology and intensive care in the first and second cycle, above all for the Medical Programme. Education assignments
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strong publication record in relevant fields Proficiency in programming (e.g., R, Python, Bash) Effective communication in English is required for daily work. After the qualification requirements, great
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Factories. The AI Factory Service Hub is operated as a project under the Horizon Europe framework program and will include up to 50 AI experts and other staff working close to academic and industrial users
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combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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Master’s degree (or a 4-year Bachelor's degree for international applicants) in marine science, environmental science, or a related field Strong written and verbal communication skills in English Meritorious
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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demonstrators. The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies