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classification and multi-layered environment mapping - Digital twin generation for natural environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 10:38 (Africa/Abidjan) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job
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online by submitting your CV and a separate cover letter (no more than 2 pages) that demonstrates how you meet the following selection criteria: PhD in Materials Engineering, Chemical Engineering, or a
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Finance at EPFL seeks postdocs to reinforce our research in quantitative finance with a focus on applied machine learning. Main duties and responsibilities Working and collaborating on research projects
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substantial intellectual independence and opportunities to collaborate closely with machine learning scientists developing predictive models of cellular function. Machine learning experience is not required
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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.10.2032 Reference no.: 6158 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom
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dynamics and (at intermediate redshifts) strong gravitational lensing, thus preserving and extending the team’s lead in this field. Candidates will have the opportunity to teach. Applicants should have a PhD
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learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team
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Candidates must have, or be close to completing a PhD, in bioelectronics, biophysics, tissue engineering, biomedical engineering, mechanobiology, biomaterials, cell biology, or a closely related discipline
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-immune disorders, immunology, infections, and infectious diseases. Within the BioMS group you will work in the team and under the guidance of dr. Fabio Marino. Dr. Marino received his PhD in the BioMS