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field of research Participate in education, and PhD and master student supervision Profile Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field
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Employment 1.0 FTE Gross monthly salary € 3,706 - € 5,760 Required background PhD Organizational unit Faculty of Science Application deadline 15 October 2026 Apply now Contribute to breakthrough
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(postdoc) Limited contract until: 30.09.2029 Job ID: 6080 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re
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, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to combine research in Remote Sensing and AI with teaching
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD, MD, or MD/PhD (or foreign equivalent). At least one academic degree in the field of Mathematics, Physics
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the opportunity for three weeks of training in higher education teaching and learning. The job also includes opportunities for teaching on basic and advanced level. participation in supervision of master and PhD
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machine learning, Computer vision, Swarms, Autonomous Robots, hardware security, and Embedded systems development is desired. The successful applicant will work on various projects on robotics and computer
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 11 days ago
PhD in psychology, cognitive neuroscience, neuroscience, or a related field Passion for neuroimaging and neuropsychology, and a genuine interest in the neural basis
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Qualifications (must be outlined on resume): • PhD in neuroscience, or a related discipline, completed or expected before the start date. • Demonstrated research productivity and the ability to work independently
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partnerships (25%) Qualifications Required Qualifications: PhD in Kinesiology, Exercise Science, or Related Field; basic proficiency in statistical and qualitative analyses using relevant softwares; experience