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Scientific Software Engineer (m/f/div)
Aktualität: 05.08.2021


05.08.2021, Max-Planck-Institut für biologische Kybernetik
Scientific Software Engineer (m/f/div)
The main focus of the department is building and testing theories and computational models of neural processing, with a particular emphasis on decision-making, learning and representation. This covers the ways that humans and other animals come to choose appropriate actions in the face of rewards and punishments, and the ways and goals of the process by which they come to form neural representations of the world. The models are informed and constrained by neurobiological, psychological and ethological data. Developing, testing and implementing scientific software Replicating results in to-be-submitted scientific papers Running and maintaining our externally-facing experiment server Providing training and support for students and postdocs at varied levels of competence in modern, high quality, open science/source coding practices Assisting staff with parallelizing scientific software and in the use of cluster and cloud computation Providing support and training for data management Being the lab's interface with the Institute's core IT team
Completed university degree in Natural Sciences, Engineering or a similar field (e.g. Mathematics, Statistics, Computer Science, Physics, Neuroscience) Excellent skills and experience in programming and data analysis with extensive experience in at least two of python, R and matlab. Experience with javascript, php, C++, is desirable Familiarity or experience with scientific research methods High degree of self-organization and independent work Team spirit, reliability, and sense of responsibility Complete spoken and written fluency in English; knowledge of German is a plus



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