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interest in user-centered security, human factors in security, human computer-interaction or UX. Academic: A Master in Cybersecurity or equivalent degrees with expertise in cybersecurity assessment or a
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researcher who is passionate about developing automated systems for microbiological research. The ideal candidate has: An MSc degree in bioengineering, biotechnology, microbiology, computer science, mechanical
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The Faculty of Sciences and Bioengineering Sciences, Department Computer Science, Research Group Federated labs AI and Robotics is looking for a PhD-student with a doctoral grant. More concretely
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of the program For further information, please contact Dr. Mert Bayraktar Your profile Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields
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candidate will work closely with experts in food allergy, neuroimmunology, gut physiology, and computational biology to characterize immune cell responses, construct spatial maps of inflammation along the gut
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stages. Several sub-objectives have been identified: Identifying the different (sub)processes in pharmaceutical production, collecting data and constructing engineering models for existing technologies, in
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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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life. The successful candidate will work closely with experts in food allergy, neuroimmunology, gut physiology, and computational biology to characterize immune cell responses, construct spatial maps
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post-doctoral researchers from diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape
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degree or equivalent in Robotics / Aerospace / Mechatronics / Mechanical or Electrical Engineering, or related fields in Engineering or Computer Engineering Programming Skills: Design tools for Mechanical