709 programming-"Prof"-"Durham-University"-"Embry-Riddle-Aeronautical-University" Postdoctoral positions
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job A postdoctoral position is available in the laboratory of Dr. Feng Zhang in
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of this position is to conduct research regarding the molecular architecture of the HIV virus in the group of Prof. Juan R. Perilla (http://biophysics.chem.udel.edu ) and the computational core of the Pittsburgh
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Center for Developmental Neuroimaging (CDNI) is seeking a postdoctoral fellow to join our team at the University
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
40 research groups and some 1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society. The Department of Theoretical and Computational Biophysics headed by (Prof. Dr
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ In the context of Prof. Fridgen's PayPal-FNR PEARL Research Grant and the FutureFinTech National Centre
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learning theory to join the research team of Prof. Muhammad Umar B. Niazi. The position focuses on the design and implementation of incentive mechanisms for sociotechnical and cyber-physical-human systems
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provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as
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. This work is part of European Union’s Quantera Program project “MQSens: Quantum Sensing with Nonclassical Mechanical Oscillators”, where opto-/electromechanics is utilized to explore how quantum protocols can
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a motivated researcher with a strong background in power
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted