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at the Faculty of Mathematics at TUD. Tasks: generation of hyper uniform patterns (point, scalar and vector fields) application of topological data analysis tools such as persistent homology and graph statistics
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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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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
(bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon
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to support young researchers in their postdoc and late PhD phase in pursuing a successful career within or outside of academia. Established in 2013, the GAUSS Career Service offers a wide range of specifically
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consulting in the area of statistics and ML, entrepreneurship training, the bilateral transfer of methods and problems from industry, and training for AI users from industry. Learn more about the transfer
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) Conception and implementation of device and test specifications Technical and statistical evaluation of measurement results as well as circuit and device documentation Taking on initial project responsibility
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sometimes). Compulsory "primer" (foundational) courses (programming, statistics, bioinformatics, biophysics) are planned as intensive courses in the period March to July. Soft skill courses (Good Scientific
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to 1,500 EUR per month. Academic admission requirements Master's degree or equivalent in the life sciences, mathematics, computer sciences, statistics, biophysics, or a related field Language requirements
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Helmholtz Centre for Environmental Research - UFZ • | Leipzig, Sachsen | Germany | about 3 hours ago
graduate school. At the UFZ, doctoral researchers are supported by a range of additional services, e.g. Statistics Support, Bioinformatics Service, Family Support Office, International Office, etc. Course
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ecology (e.g. pollination, chemical or molecular ecology). • Strong experience with statistical data analyses. • Experience in or willingness to learn analytical chemical analyses and data processing