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about PhD Graduate School. Prerequisite for the PhD position is an Master’s degree (or equivalent) in engineering, chemistry or physics. Do not overlook the inclusion of Academic Europe in your
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. This PhD project presents an exciting opportunity for researchers passionate about cybersecurity, artificial intelligence, and industrial automation to contribute to a high-impact area of research
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degree in economics, mathematics, statistics, or related fields. Candidates about to obtain one of these degrees are also eligible. Ideally, candidates should have the intention to work towards a PhD in
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(including data science courses, soft skill courses and annual retreats): https://www.hds-lee.de/about/ A qualification that is highly valued in industry 30 days of annual leave and flexible working
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retreats) https://www.hds-lee.de/about/ A qualification that is highly welcome in industry 30 days of annual leave and flexible working arrangements, including partial remote work Further development of your
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partner is possible Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in
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theory and methods by taking several PhD-level courses (about 36 European credits) in information systems, operations management, econometrics, machine learning, extensive data analytics and qualitative
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ 30 days of annual leave (depending on agreed working time arrangements) and provision for days off between
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Graduate School of Business , where you will receive extensive training in theory and methods by taking several PhD-level courses (about 36 European credits) in information systems, operations management
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ 30 days of annual leave (depending on agreed working time arrangements) and provision for days off between