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- Universitat Autonoma de Barcelona (UAB)
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be achieved using artificial intelligence (AI), machine learning and statistical methods. The DC will collaborate closely with other sites and fellows within the ETN to achieve the following objectives
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motivated and eager to work on evolutionary and biological problems and to learn about the use and development of computational, statistical and machine learning approaches. The Group Cancer is a genetic
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about the use and development of computational, statistical and machine learning approaches. The Group Cancer is a genetic disease, subject to population genetics forces like mutation, selection and
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and statistics knowledge Unix command line github Competences Strong abilities to work as part of a team Strong communication skills The Offer – Working Conditions Contract duration:4 year PhD student
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and plant) - Use of equipment for measuring soil/plant water status and soil respiration - Use of computer programs such as: image processing, gis and statistical data analysis. Specific Requirements
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. In practice, we need statistical tools to bring these ideas from a theoretical concept to the application. To achieve a more integral understanding of brain disease, this project will develop a novel
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language. Knowledge of statistics and relevant packages. Excellent team worker. Capacity for independent and creative thinking. Keen research interests in linking language and psychiatry. Interest in inter
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, (prodigal, bowtie, samtools, bedtools, diamond and Megan). Networks: Cytoscape. Databases: MetaNetX, BioCyc, Bigg, seed, nr-ncbi, KEGG, EC, COG, PFAM. Statistical tools for microbial ecology. Specific
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statistical analyses with SPSS, STATA, R or MPLUS Capacity to present oral communications or posters at international scientific events. Capacity to work independently and as a member of a national and
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chemical, geology, microbiology and economics. Knowledge of Gis and statistical analysis. Experience in groundwater and surface water contamination studies. To have worked in the Muga basin on water-related