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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
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and other studies in medical humanities. PostCovid is used as an example. Medical sociology, science and technology studies (STS), phenomenological philosophy and analytic philosophy perspectives
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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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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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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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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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-ray crystallography, cryoEM) and/or analytical chemistry (e.g., mass spectrometry) Programming skills (e.g., in R or python) Ability to work independently, take initiative, and collaborate within
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requirement for admission is that the applicant has at least 90 ECT credits in Economics. The main qualifications are proven analytical skills, a strong interest in research, and the ability to work