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The Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany, invites applications for a three-year PhD program in epidemiology, statistics, and prevention and
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breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, within the Dresden Center for Computational Materials Science (DCMS
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/2025.03.02.641062 Your Profile The successful applicant should hold a master's degree or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological
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and next generation sequencing data. Graphical output of data analysis for publication demonstrated experience in statistical analysis and designing computational methods and tools, including prior
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journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science/biomedical engineering or of relevant scientific field A solid background
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system analysis or comparable Initial experience in optimization or statistics is an advantage Initial experience of an object-oriented programming language (e.g. Python, Matlab) and MS Office Analytical
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. The position is part-time, with 65% of the regular weekly working hours (currently 25.35 hours) and should be used for a doctorate. Participation in the accompanying doctoral program is compulsory. This serves
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experience in Python or similar programming languages, experience in Linux/Unix computer environments, and experience in statistical analysis and visualization very good written and oral communication skills
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition