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programming language (Python or similar) and experience with UNIX/LINUX. (Required) Education, Licenses, Certifications & Personal Affiliations Master's Degree in quantitative methods, statistics or a related
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and industrial partners of the project, including Unilever, Shadow Robot Company, Ocado Technology and MathWorks. More details of the project can be found in the following link: https://www.kcl.ac.uk
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optimization of nonlinear problems will be essential. The researcher must also be familiar with image manipulation and software development in Matlab or Python. The ability to collaborate both in academia and
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their dependents can obtain a degree TUITION FREE A generous retirement plan and so much more! Salary Grade: T25 Salary Range: $41,250 - $49,000 Learn more about the “T” salary structure here: https
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approaches in our investigation of encoding and retrieval processes underlying memory performance. Information about all of our research, including ongoing projects, can be found on our lab website at https
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AI and in silico methods (Ref. LISBOA2030-FEDER-00719600; 2023.18347.ICDT and DOI https://doi.org/10.54499/2023.18347.ICDT ), co-funded by Lisboa2030, Portugal2030 and by the European Union and by
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 22 days ago
API development (Python or C# is an advantage), · practical knowledge of relational databases, SQL and ORM frameworks, · version control (Git) and software artifacts handling in containerised
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. Writing and defending your PhD thesis at Vrije Universiteit Amsterdam. Where to apply Website https://www.academictransfer.com/en/jobs/359455/phd-in-environmental-determinan… Requirements Specific
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-2025” concerning security-threatening activities against Sweden. Graduates in the spring of 2026 may also apply Where to apply Website https://www.bth.se/english/vacancies/job/phd-student-position-in
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, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell