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theoretical understanding of statistical machine learning methods relevant to the project: Bayesian learning, machine learning, spiking neural networks. Experience of programming (e.g. with Python) and data
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/or trainings for QC Proficiency in writing numerical software, preferably in C++ and Python Excellent command of written and spoken English, command of German is helpful Our Offer: We work on the very
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Programming using MATLAB, Python, and Java/Kotlin (for Android) Publish journal articles. Presentation of research at national and international conferences. Supervise undergraduate students. Supervise graduate
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experience performing neuroimaging analysis is strongly preferred. Programming: Proficiency in Python is required. Experience working in Linux environment and writing Bash scripts is also expected
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to large datasets You have proven programming competence in Python and/or R, and expertise in Linux and high-performance computing environments You have a genuine interest in, and prior exposure (through lab
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must possess strong quantitative skills (e.g. Matlab, C++, Python). The term
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. Strong programming skills, for example in Python. Several of the researchers the candidate will work closely with speak English, so very good proficiency in written and spoken English is a prerequisite
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-based and farm models with a focus on biogeochemical and hydrogeological fluxes. Knowledge of greenhouse gas inventories (methane, ammonia, nitrous oxide) Proficient skills with scripting (R, Python) and
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at conferences and meetings, and may develop new theories and methodologies. Extensive experience using R, Python or similar tools are a key requirement for the position, and successful candidates should show