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Field
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automated manner. This includes the development of Python-based control and automation routines, as well as the analysis of large experimental datasets. These characterization techniques may be complemented
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applications. Experience in natural language processing, model evaluation, or experimental design is advantageous. Proficiency in Python and/or R and familiarity with AI/ML libraries or generative AI platforms
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for data acquisition and analysis (e.g., Python or LabVIEW) are highly desirable. After a training period, you will operate and maintain the fast EC-STM system and contribute your own ideas to the project
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development from spatial transcriptomics data. Activities : – design of a new mathematical method – monitoring and study of publications relevant to the field – programming/coding in Python (Pytorch
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well as programming skills (Python required; experience with seismic data processing is advantageous) Initial experience seismic data analysis and/or wave propagation modelling is an asset Willingness to participate in
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with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication
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or manuscripts in preparation. Experience with fMRI data acquisition and/or analysis (e.g., FSL, SPM, AFNI, fMRIPrep, nilearn). Proficiency in at least one programming language (e.g., Python, MATLAB, or R
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experience with molecular simulation and scripting and/or programming languages (e.g. python) is a plus. The start date of the studentships is 1. October 2026. Due to restrictions by the funder
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- experience in programming (e.g. Matlab and/or Python) - experience in fieldwork - proficiency in scientific writing - skills in communicating with people who have different backgrounds Your workplace
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/Qualifications Candidates must have a master's degree, preferably with a background in semiconductor physics. Basic knowledge of electronics and Python programming would be appreciated. Applicants must have a keen