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Field
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Computer Science or a closely related discipline. Strong research background in computer systems includes, but is not limited to, operating systems, networks, embedded systems, parallel or distributed
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science such as computational complexity, algorithms, data structures, logic in computer science and AI, semantics, theory of programming, learning theory, parallel algorithms or quantum computing Research
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this multidisciplinary team, the candidate will have access to state-of-the-art technologies (massive parallel sequencing, mass spectrometry-based proteomics, high-performance computing infrastructure and data science
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parallel with software development that will ultimately ensure delivered product meets quality standards, is fit for use, and meets expectations articulated by our customers. Collaborates with various IT@JH
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Application Deadline 27 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We seek a highly motivated and skilled
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methodologies, project design, and implementation in academic/research contexts. Knowledge of academic program development (undergraduate, graduate, and postdoctoral levels). Awareness of emerging trends in
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renowned subject-relevant media are a strong plus. • Very good organizational skills are highly desirable. • Knowledge of parallel computing and use of GPUs are desirable. • Supervision and teaching
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position in Political Theory, with a focus on International Political Theory. The successful candidate will play a central role in SLAS’s Parallel Degree Programme (PDP) in partnership with the University
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with large datasets and apply data analysis methods;advanced knowledge of mathematical and computer modeling, sequential and parallel programming in Python or Julia, knowledge of Git version control