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regulatory processes contributing to cancer. The candidate We seek a highly motivated candidate with a track record of statistical models, network science, and/or computational tool development dedicated
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Background A 2.5-year postdoctoral position with flexible starting date is available in the Cancer Data Science group led by Mariike Kuijjer at iCAN Flagship in Digital Precision Cancer Medicine
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degree in computer science or a related technical field or proven skills of applying machine learning models in conservation science or other environmental sciences. Be proficient in programming languages
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students. The Department of Physics (Faculty of Science ) is a large and multidisciplinary department that offers the most varied university programme in the physical sciences in Finland. At the beginning
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well as newly developed computational methods. You will report your results in a scientific publication as a first author with the support of other members of the group. Skills, experience/qualifications
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efforts. The Helsinki Lab of Interdisciplinary Conservation Science (HELICS) is an interdisciplinary and internationally recognized team with expertise in conservation science, geography, computer
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. Applicants must have a doctoral degree in geography, geoinformatics, computer science, data science, or a related field. Advanced PhD candidates are also encouraged to apply, however the appointee must have a
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degree in computational biology, bioinformatics, computer science, biostatistics, cancer genomics, network science, or related fields. Candidates who are completing their PhD thesis are welcome to apply
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. Applicants must have a doctoral degree in geography, geoinformatics, computer science, data science, or a related field. Advanced PhD candidates are also encouraged to apply, however the appointee must have a
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/researchgroups/center-for-gene-regulation . Your qualifications We are looking for a creative thinker with strong analytical skills and a passion for science. We expect you to formulate your own hypotheses