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Field
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proficiency in spoken and written English are essential. Experience with programming languages such as Python or MATLAB is highly desirable. Prior experience with MRI data acquisition or analysis and
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characterization techniques such as XRD, XPS, SEM, or TEM. Experience in data analysis, scientific programming (e.g. Python), statistical experimental design, as well as data-driven research methods and
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at least one programming language (e.g. Python, C++) ▪ FPGA programming experience ▪ Interest in hands‑on experimentation and hardware prototyping The following points are considered a bonus ▪ Experience
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, or Python) are desirable experience working with children experience with the collection or analysis of EEG data is an advantage ability to work independently as well as collaboratively in
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FieldComputer scienceEducation LevelMaster Degree or equivalent Skills/Qualifications Strong foundations in Machine Learning and Deep Learning Excellent Python programming skills Experience with PyTorch
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Computer Science, Data Analysis, Software Engineering, Physics, Mathematics or related disciplines with a strong academic record. Strong programming skills, preferably in Python, and experience developing non
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computational methods. Strong programming skills, preferably in Python, and experience working with scientific data. Strong interest in using computational methods to discover biological or medical insights from
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areas: Analysis of RNA sequencing and other omics datasets (bulk, single-cell, and/or long-read data) Programming and data analysis, particularly using Python and/or R Ability to work independently in a
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language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation Good organisational skills and ability to work systematically
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-level languages (Python, Matlab) Affinity with hands-on experiments is desired General knowledge in physics, particle accelerators and radio frequency systems is a plus Fluent in English Open to team work