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academic background with thorough computational and analytical understanding; Proficiency in programming in Python and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills
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analytical understanding; Proficiency in programming in Python and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills in oral and written English; Creativity, thoroughness
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such as: Good analytic skills, good collaboration and communication skills. Ability to work independently and to drive projects based on personal initiatives. Good skills in organization and planning work
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education in theory and practice of generative modeling, have research experience or education in life science data and have prior experience with remote GPU and HPC services. After the qualification
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are looking for a highly motivated, independent, and analytical person, with: A degree or the equivalent in scientific data analysis, data science and machine learning, computer science, bioinformatics
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English, the capacity for analytical thinking, the ability to collaborate, as well as creativity, initiative, and independence. The assessment will be based on previous studies and grades, the quality
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, prevention and treatment? Work duties The main duties of the doctoral student are to conduct their own research education. Duties include: i) Data science focusing on analytical pipelines to address
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interest in evolutionary genetics, excellent analytical skills, and the ability to work both independently and as part of a team. Excellent written and verbal communication skills in English are essential
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. Previous experience with next-generation sequencing data, deep learning or RNA biology are advantages, but not required. capacity for analytical and creative thinking initiative independence ability