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technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm
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the work is performed in close collaboration other research teams active at Uppsala University and SciLifeLab. These contribute to the project with knowledge in synthetic organic chemistry, biochemistry
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amongst the eligible candidates will be based on their capacity to successfully complete the program. Important criteria when assessing this capacity are; documented knowledge and skill in the field
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in Python programming. Experience with machine learning methods, bioinformatics, and data science. Familiarity with generative AI tools for protein design and protein language models. Knowledge
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, engineering physics, biomedicine, or similar Documented skills in data-driven analysis (machine learning using python with TensorFlow, PyTorch, or similar) and computational statistics Specific knowledge of big
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the following bases of assessment: Documented subject knowledge of relevance to the area of research Analytical skill Other documented knowledge or experience that may be relevant to doctoral studies in
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knowledge-intensive meeting place for students, teachers and researchers from all over the world. The Department of Clinical Sciences, Malmö is one of the six departments at the Faculty of Medicine, Lund
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of the applicants will be evaluated on an overall basis. Karolinska Institutet uses the following bases of assessment: – Documented subject knowledge of relevance to the area of research – Analytical skill – Other
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substantially equivalent knowledge in some other way. For this position, the applicant must hold a master’s degree in molecular biotechnology, bioinformatics, computer science, or another area that the employer
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acquired substantially equivalent knowledge in some other way. We are looking for a candidate who has a strong interest in data-driven research in infection biology. Previous practical experience in machine