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“Comunidad de Madrid” in the framework of the BIVALIA-CM project (TEC 2024/BIO-177), through the R&D activities programme “Tecnologías 2024”. The new researcher will join the research team of the project
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: Comparative transcriptomics, orthology inference, positive selection detection, protein domain analysis, phylogenetic comparative methods Computational skills: UNIX/Linux, HPC computing, R, Python You will gain
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behavioral neuroscience or signal processing (especially of bioacoustics data) Programming experience (e.g. Python, R, Matlab, etc.) Strong communication and collaborative skills and proficiency in spoken and
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languages (e.g., Python or R) Strong motivation and curiosity Ability to work in an interdisciplinary team Structured and independent way of working We offer: An exciting and highly topical research project
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, or conservation genetics. In addition to an interest in evolutionary and conservation biology, the candidate should be committed to: doing field work, wet-lab work, learning about bioinformatics, including R and
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experience in pytorch and/or tensorflow) knowledge of statistical methods and programming (R and Python) prior experience in machine learning and ideally also on applications in the health domain and/or
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with statistical software such as R and SPSS. And proficiency in the Swedish language. Salary Placement Salary in accordance with the established salary scale for doctoral positions. Application
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Requirements Knowledge of programming in Python, using libraries such as PyTorch or TensorFlow Proficiency in R and in a visualization tool such as R Shiny, Power BI, Tableau, or Qlik Use of repositories in
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researchers recruitment policy at our institution, see our OTM-R (https://www.bc.cas.cz/en/employees/candidates/otm-r/ ). We provide our employees from abroad with welcome service (visa application
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. · Analyzing ecological and chemical data (e.g., in R). · Writing scientific manuscripts and presenting findings at conferences. This position is ideal for a student interested in interdisciplinary aquatic