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statistical data evaluation, creation of scientific programme codes using common software packages (MATLAB, Python, R) Simulation skills with e.g. molecular dynamics and alpha fold Knowledge
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Deadline 16 May 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Bachelor Master Areas of study Applied Computer Science, Bioinformatics, Software Engineering
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of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and tasks in the field of digitized circular economy Independent, structured
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of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and tasks in the field of digitized circular economy Independent, structured
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highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW
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to reason about software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new
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Description In the research group Dependable and Autonomous Cyber-physical Systems (DACS) on Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology has
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for a doctoral candidate with the following qualifications: Master's degree in meteorology, physics, mathematics, computer science or an equivalent scientific or mathematical discipline Very good
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of Reference for Languages (CEFR) Technical equipment and programmes Much of the programme coursework requires the use of statistical programmes. Most students will use R software, although some students will
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(compulsory) Lecture series Expert courses Summer schools Soft skills courses Training in scientific programming and statistic software Project management, computer literacy Presentation, communication Writing