18 parallel-programming-"Washington-University-in-St" PhD research jobs at Nature Careers
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. Candidates should have a strong record of scholarly activity. Candidates whose research complements existing department programs are preferred. Details regarding our research programs and faculty can be found
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science or related discipline Experience and skills Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories Experience with
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curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50
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of the next generation of scientists is one of EMBL’s key missions. The EMBL Corporate Partnership Programme invites applications for short-term fellowships to enable junior level scientific visitors (active
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
. Responsibilities and qualifications Your overall focus will be to establish and lead a strong research program in the field of synthetic biology and metabolic engineering of non-model microorganisms, with the aim
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multidisciplinary academic programs in concert with civic, corporate and community partners worldwide, including a full complement of health sciences colleges. By emphasizing cutting-edge and transformational
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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), Universitätsmedizin Greifswald offers attractive benefits such as company pension schemes and employee discounts. Professional development opportunities: Regular training and development programs are offered to support
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl