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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 4 days ago
strong track record of prior research accomplishments. The Max Planck Society is committed to employing individuals and strives for gender equity and diversity. We welcome applications from all backgrounds
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have a demonstrated track record of successfully using single-particle cryo-electron microscopy to solve biological problems and have experience with protein purification and characterisation. Skills in
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Engineering. Required Other None Additional Preferred Evidence of strong written and oral communication skills Track record of peer-reviewed publications in the field of cybersecurity and machine learning
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novel plasma-disturbance sensing techniques. The role sits within the Department of Electrical Engineering and Electronics, part of the Faculty of Science and Engineering, which has a strong track record
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. Experience with coding and API integrations. Proficiency in 3D modelling. Experience in game engines and deployment of persistent multi-user environments. A track record of publishing in peer-reviewed journals
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, LLM, Stata, Python, or R; (f) have track record of publications in high-quality international journals or demonstrated potential for future publications; and (g) have experience in collaborative
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. Research experience in the fields of perception, consciousness, thinking, and emotions. Strong track record of writing and publishing scientific articles. Skills in experimental design and execution, as
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bioinformatics are advantageous. Candidates should be highly motivated and have a track record of publications in international journals. The appointee will work on projects related to oral microbiology and
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, sensors, and computing devices). The ability to communicate effectively with research participants, clinicians, and team members is essential. Education/Training EXPERIENCE: Demonstrated track record
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datasets [e.g. behaviour, simultaneous EEG-fMRI and eye-tracking data]. Main research themes include, but not limited to: reinforcement learning and valuation, risk and uncertainty, confidence and