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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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, fungi, environmental samples, minerals and fossils. All research and knowledge are shared in the exhibitions, Cosmonova and in activities at the museum and digitally. The Department of Bioinformatics and
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, fungi, environmental samples, minerals and fossils. All research and knowledge are shared in the exhibitions, Cosmonova and in activities at the museum and digitally. The Department of Bioinformatics and
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. Requirements: PhD in Ecology, Evolution, Bioinformatics or related areas Previous research experience in phylogenetic comparative methods Excellent skills in R programming Excellent writing and communication
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Computer science, Biostatistics, Bioinformatics, Neuroscience, or similar field. Proficiency in written and spoken English. Previous work with large-scale data analysis, integration and visualization. Proficiency in
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require collaboration between different teams and researchers with different knowledge, previous experience of such collaborations is a merit. Knowledge about RNA bioinformatic packages such as DREEM and
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characterization and bioinformatics to understand the transcriptome profile of the silk glands. Your work will involve the use of several different heterologous hosts to improve our current production methods
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at the most (excluding deductible time such as sick or parental leave). The applicant must have a PhD degree when taking up the position. Requirements: PhD in Ecology, Evolution, Bioinformatics or related areas
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from work with plant-microbe interactions and especially molecular studies on plant viruses Basic skills in bioinformatics (such as analysis of NGS data) As postdoctoral appointments are career
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the European network of MIMS, which includes EMBL and the European Bioinformatics Institute (EMBL-EBI) in Hinxton, UK. Relevant local environments include the Umeå Centre for Microbial Research (UCMR