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scheduling systems. Basic programming skills in Python are required, as well as experience working with biological or biomedical datasets. The successful applicant should demonstrate the ability to work both
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international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The successful candidate will drive research at the intersection of Condensed Matter Theory, Quantum Computing and
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. Require skills The candidate should have strong expertise in cybersecurity and/or machine learning/deep learning, particularly in representation learning. Proficiency in Python programming is expected
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out activities related to research lines or scientific-technical services Ref. Interna M4024-7806 PID2024-157492OB-I00 Call for selection of research asistants https://sede.urjc.es/tablon-oficial IN
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equipment (copy machine, fax machine, multi-line phone). Applications are being accepted on line at https://unmc.peopleadmin.com/postings/97497 Inquiries: David Warren, PhD at david.warren@unmc.edu Required
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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accordance with regulations, your appointment must therefore be authorized by the relevant authority of the Ministry of Higher Education and Research (MESR). Where to apply Website https://emploi.cnrs.fr
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. Environment: PhD student will be working at CEA in Grenoble, a major French National Lab focused on the development of low-carbon energies, and more specifically in IRIG/SYMMES lab (https://www.symmes.fr/en
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a relevant field and have strong quantitative and analytical skills, including experience in food systems modelling or closely related areas. Proficiency in data analysis and coding (e.g. Python, R
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related fields. Quantitative/data analysis skills (Python, MATLAB, or similar). Hands-on experience in single-molecule techniques. Driven, organized, and team-oriented with a solid publication record