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series of turbidity, light attenuation, Secchi depth and photosynthetically active radiation (PAR) based on in situ, remotely sensed and modelled data. Conducting a statistical ensemble analysis of
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or bioinformatics with strong experience in applied omics research Knowledge in programming languages and statistical analysis Experience with the analysis and integration of high throughput data such as NGS and
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., interventions), advanced statistical modeling skills (e.g., Bayesian mixed models), advanced cognitive modeling skills (e.g., signal detection theory, evidence accumulation models, reinforcement learning), and
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research methods and statistical analysis, familiarity with statistical software and programming languages (e.g., R, SPSS; Python) and ideally data storage languages (e.g. SQL, or similar), excellent
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, Cognitive Science, Psychology, Bioinformatics, Medical Informatics, or related life sciences. Strong statistical training and experience, ideally already having worked with types of statistical longitudinal
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Your Job: We are looking for a postdoc to further develop probabilistic, statistical and game-theoretical methods for application in international nuclear safeguards. The tasks include: Connect
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criteria: Proven track record of publishing high-quality scientific articles in peer-reviewed journals. Excellent command of written and spoken English. Proficiency with advanced statistical methods
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geographic information systems (GIS) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge
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the frontiers of non-equilibirium condensed matter physics. The candidate (m/f/d) must hold a Ph.D. in Theoretical Condensed Matter Physics, knowledge of solid-state physics, statistical physics and advanced
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
, BERT,…) and machine learning Excellent statistical / computational skills with a knowledge of Python and/or R Familiarity with computational linguistics tools and frameworks Ability to work in