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7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas
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will be financial coordination of the newly launched KAW funded SciLifeLab Alpha Cell program as well as the EU MSCA SciLifeLab PULSE Post Doc program PULSE Postdoc program. About the Programs The Alpha
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postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and
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). Particular emphasis is placed on HPC-supported computing of sequencing data into assembled transcripts (de novo assembly is a frequent need), and further downstream translation of the ORFs of said transcripts
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. The project is part of a consortium exploring microbial production of biofuel. The student will work with postdocs and there is the possibility for visits to collaborating laboratories in Finland and France
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collaborative environment where you can both use and develop your technical skills? Then this position may be the perfect fit for you. Requirements University degree in bioinformatics, computer science, IT, or a
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degree in bioinformatics, data science, computer science, scientific computing, or associated field Documented experience with AI methods for analysis of tabular dataset and image-based data including deep
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”. Qualification requirements Required Academic degree in Bioinformatics, Computer Science, Biotechnology or similar. Programming experience, preferably using Python or Javascript. Basic knowledge of version control
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computer science or an equivalent education, such as a Master of Science in Engineering. A minimum of 10 years of documented experience working in IT as a developer, systems specialist, architect, or similar role
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, computer science or a related subject the employer considers of relevance to the position. Experience (3+ years) in working with advanced bioinformatics analyses of omics data from high throughput