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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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Fighting pathogens together! Postdoc for hepatitis C virus vaccine research (f/m/d) Job advertisement no.: 080/2025 Starting date: As soon as possible Duration of employment: The contract will
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research. For the projects RIKEN and ASMASYS2 of PIK’s Research Department 3 “Transformation Pathways” is offering a Postdoc position Sustainable development pathways (d/f/m) (Position number: 30-2025
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The Department of Food Science, Aarhus University (Denmark), invites applications for a 36-month postdoc position to work the physical chemistry of food proteins, in particular their structure
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The Department of Biotechnology and Food Science, Institute of Bioprocess Science and Engineering wishes to fill a career position in compliance with § 99 (5) UG (tenure-track) in the field
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Computational Biology - Open Rank Faculty Positions Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Digital Public Health: Computational Biology Location
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
environment. Outstanding applicants in other closely related fields are also encouraged to apply. School of Electronic and Computer Engineering The School of Electronic and Computer Engineering (SECE
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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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postdoctoral-level candidate with specialization in bioinformatics or computational biology approaches, with special preference for single-cell analyses. The teams of Prof. Garg and Prof. Naulaerts aim to apply