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program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research was created. Using
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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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. You should be innovative, curious and knowledge-seeking, as well as reflective and analytical to help identify good solutions. We value the qualities that an even distribution of age and gender, as
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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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at equal levels with relevance for the subject Additional requirements: Very good oral and written proficiency in English Excellent communication skills Good analytical skills Demonstrated practical
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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