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Field
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, probability, and statistical learning. You must also be proficient in Python and speak English. You have a PhD or equivalent degree and are able to work in a team, communicate effectively, and write clear
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methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer
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). Candidates must meet the following requirements: - PhD in Computer Science; - Experience in research on the use of AI to recommend code refactoring opportunities; - Experience with data analysis and data
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Postdoctoral Research Associate will be responsible for AI-driven materials discovery. The position will collaborate with interdisciplinary teams to develop integrated molecular simulation and machine learning
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and numerical models as well as constitutive model calibration and validation based on physical experimental data. Required Qualifications: A successful applicant must have a PhD in Engineering
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
biomedical imaging applications Your profile Master’s degree or PhD in Physics, Optical Engineering, Photonics, Quantum Engineering, Biomedical Engineering, or a closely related field, with a focus on quantum
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
collaborative lab projects Present your work at international conferences This is a position is ideal for someone who wants ownership, visibility, and scientific freedom. Your Profile PhD in molecular
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Education and qualifications: Required: PhD degree in Biotechnology or related fields. Experience in experimental models and molecular microbiology of serious infections (e.g., bacteraemia, endocarditis
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on the ERC-funded project ‘Understanding the Consequences of Major Health Crises for Education: Learning from the COVID-19 Pandemic (LEARN)’. The LEARN project: Health crises, natural disasters, and violent
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to reveal new findings. 15% Scholarship: Research relevant fields, travel to conferences to learn and present results 15% Writing / Dissemination: Write and submit for publication manuscripts describing