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network data science algorithms for mining molecular multi-omics and medical data to improve multiple tasks of precision medicine and discover new precision therapeutics. The successful candidates will work
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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 Job Description The AI department is a
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organizational, communication, and problem-solving skills, with the ability to manage multiple parallel workflows in a fast-paced environment Comprehensive understanding of scientific research processes
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simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use of laminar/neuropixel probes and electrical microstimulation to study
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in ambiguity, demonstrates strong judgment, and can independently advance multiple initiatives in parallel. Success in this position requires a blend of technical credibility, project management
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at least one of: High-Performance Computing Distributed Systems Parallel Computing High Performance Algorithms Multiple Linux distributions · Experience with SLURM or similar HPC schedulers
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State University of New York University at Albany | Albany, New York | United States | about 13 hours ago
transformative paradigm. By taking advantage of qubits' ability to exist in multiple states simultaneously and exploiting the probabilistic and delocalized behaviors of quantum systems, quantum computing promises
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timetable for the four-year project to be submitted to DAAD. Development of relevant analytical methods and setting up of required laboratory equipment will be conducted in parallel. Execution of the research
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are critical to achieving success. Ability to work on and track multiple tasks in parallel, maintaining progress and quality. Proficient in the use of, or ability to quickly learn, project management
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learning algorithms for engineering systems Programming experience in FORTRAN, C, or C++ and scripting experience in Python or similar languages Experience with parallel computing environments and Linux