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                degree or PhD in Computer Science, Electrical Engineering, Control Systems, or a closely related field. Experience in reachability analysis, formal verification/model checking, control theory, or related 
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                , enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq 
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                activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry 
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                /aktuelles/article/phd-position-in-collaboration-with-bmw-on-data-driven-modeling-of-structural-foams-for-high-voltage-storage/ 
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                at the TUM School of Life Sciences PhD studentship (m/f/d): Tree Carbon Allocation to the Rhizosphere and Related Microbial Processes under Severe Drought Join the new EU-funded FutureForests international 
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                of clinicians, engineers, and computer scientists, and contribute to publications and conference presentations. Profile PhD track: Master’s degree in Computer Science, Biomedical Engineering, Data Science, or 
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                leading international journals and conferences • Literature research • Scientific publishing Your qualifications: • Completed academic university degree (university diploma / M.Sc.) in Computer Science 
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                organoid-based research. For more information go to: https://www.bauschlab.org Your Qualification: High motivation, curiosity, and commitment to scientific excellence PhD in stem cell biology, developmental 
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                ://mediatum.ub.tum.de/doc/1687691/ltbbjgwihiht96fqfeblxdyj7.ITSC22_CommonOcean.pdf Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines 
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                . Candidates must be eligible for TUM’s Doctoral Program and must not already hold a doctoral degree. Academic background: MSc in Industrial Engineering and Management, Robotics, Engineering, Systems Engineering