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. On the frontend, we use Preact with TypeScript, along with an OpenGL renderer written in C++. On the backend, a server written in Python is used to handle tasks related to serving data, metadata, and authentication
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knowledge of working in laboratories, with scientific equipment, and in digital data processing. You are motivated to learn how to control modern technologies, methods, and processes in the field of optical
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, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate the molecular mechanisms that enable sperm to sense their chemical and physical environment, with a
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with interdisciplinary backgrounds. Be part of change Support the team to improve the accuracy of the FEM simulation model Post-processing the simulation results in Python Programming, data analysis and
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learn about state-of-the-art and emerging AI methods for clinical applications Your profile An excellent master's degree or a PhD in computer science, software engineering, data science, physics
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, CSF) or advanced proteomics workflows (e.g. spatial proteomics) Fluent with proteomics data analysis tools and data management, programing skills in R’ or Python highly desirable Service-oriented
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these results with complementary techniques such as TEM or SEM Data Analysis and Interpretation: analyze experimental data using appropriate methods and software interpret the results in the context of refining
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contractual term is a maximum of 3 months Upload your detailed CV with a list of publications, certificates and references Submit information on the scientific concept and work plans for the requested time
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production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team