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(biostatistics, applied statistics, data science, computer science, computational biology) or in agronomy or ecology with a statistical and computational background. The ideal candidate has a good theoretical
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including vision transformers, for computer vision tasks. Previous experience in image analysis/processing. Bachelor’s and/or MSc degree in machine learning, computer science, electrical and computer
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and local communities. Essential: 1- Bachelor/MSc degree in Mathematics, Biostatistics, health informatics or any computational research degree 2- The student should be proficient in one
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. What we expect from you… The candidate will have an MSc or equivalent degree in bioinformatics, biostatistics, machine learning, computational biology, or related subject areas Prior experience in large
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, biostatistics, bioinformatics or computer science) interested in biological applications.FAIROmics project:The FAIROmics initiative, an interdisciplinary research programme, will gather universities, research
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possess a Master’s degree in Computer Science and Engineering, or a closely related field such as signal processing, machine learning, statistics, or bioinformatics. Expertise in image analysis and deep
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the national and international scientific community. You will contribute to a public health framework grounded in advanced statistics, health economics and computer sciences to accelerate decision making for a
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and local communities. Essential: Bachelor/MSc degree in Mathematics, Biostatistics, health informatics or any computational research degree The student should be proficient in one of the programming
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-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb This PhD program is part of
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computer science, bioinformatics, biostatistics, mathematics, systems biology or another relevant life science or related fields. Knowledge of R and/or Python programming language as well as experience with machine