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, or job experience. Proficiency in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a
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related to infrastructure, health, and the environment, and simulate scenarios under different climatic and social contexts to provide decision-making tools for sustainable urban planning. Main Tasks and
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CRISPR/Cas9 or other genetic perturbation approaches* For computational scientist : previous experience with NGS data analysis; fluency in R, Python or C++ Track record of writing papers as evidenced by
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appear to have greater edaphic specialization in the colder or drier parts of their distribution. Differences in growth potential across species may also be important; for example, greater overall carbon
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different processing conditions. In collaboration with an industrial partner in aluminum manufacturing with an emphasis on special/premium products and sustainable processing, the research will contribute
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 8 days ago
opportunity to apply novel genetic tools to study molecular brain function using optical, ultrasound and magnetic resonance imaging. Our interdisciplinary approach encourages researchers with different
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 4 hours ago
in particular good command of the English language. Programming skills: Python, MATLAB, Wolfram Mathematica, EPICS etc. In addition, experience in the following areas is advantageous: Experience with X
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databases and structured and unstructured data mining tools Knowledge of SAS, R, Python, and SQL, or data visualization software Knowledge of open/public/private databases HOW TO APPLY: Applicants should
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AWS Management Console, AWS data storage (S3) and virtual machine (EC2) to enable research collaborators through Research Gateway. Enable AWS cloud infrastructure for different researchers within and
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statistical and geospatial analyses (e.g., using ArcGIS, SPSS, Stata, Python, R). Conduct cross-city comparative research Map and analyse the geographical distribution of eviction patterns within and across