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to communicate fluently in English, both written and spoken. The following qualifications are not essential but are considered highly beneficial: Experience with foundation models, transformers, generative models
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variety of methods including cell culture, molecular biology, and biochemistry is advantageous. Good skills in both written and spoken English are required. Employment The employment is full time and
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independence, scientific rigour, strong written and spoken English, and the ability to work well within a collaborative team. What do we offer? A creative and inspiring environment full of expertise and
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and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills in oral and written English; Creativity, thoroughness, and a structured approach to problem-solving; Good
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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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requirements, the applicant must have credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics or alike, including a 30 credit Degree Project (thesis). proficiency in English equivalent
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oral proficiency in English. The candidate should have A strong interest in protein science, proteomics, structural biology, computational biology, or machine learning. A solid background in molecular
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and written communication in English, able to work independently as well as in collaboration with others, and be highly motivated. Meritorious A degree in bioinformatics, computational biology, (bio
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are at second-cycle level, or Acquired equivalent knowledge in another way, in Sweden or abroad. Specific requirement: Successful completion of English B/6 or equivalent knowledge through previous
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English. In the evaluation of candidates, particular emphasis will be placed on personal qualities such as independence, strong motivation, and good collaborative skills. Qualifications desired Previous