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holds a PhD in Biochemistry, Molecular Biology, Immunology or another relevant Life-Science degree. Expertise in immunology, allergy, FACS (analysis and cell sorting), and mouse models is required
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in subcluster management, research data management, conduct independent research, and prepare third-party funding proposals. Required qualification: Eligible candidates must hold an outstanding PhD in
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experimental chemistry, providing a supportive research environment. Applicants should have a PhD in Chemistry or related field, and extensive experience in python programming and machine learning models
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biostatistics, - At least 2 years of postdoctoral experience, and if possible experience in supervision (master or PhD students), - Solid background in mathematical modelling and computer programming
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specified by the Principal Investigator. Postdoctoral position in computational modeling of anxious avoidance at the Computational Mechanisms of Psychopathology Lab at Emory University (PI: Vanessa Brown, PhD
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 18 days ago
Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Portugal Application Deadline 10 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not Applicable Offer
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approach to high-frequency electromagnetic (georadar or controlled-source electromagnetic CSEM) data modelling based on full wave 3D inversion to expand our competence in the characterisation and monitoring
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to support decision-making by integrating physical models and sensor data. These methods are validated through industrial case studies, with a particular emphasis on critical infrastructures where complexity
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to advance artificial intelligence (AI) methods that improve the reliability of clinical prediction models when faced with data drift, bias, and fairness challenges. The research will involve developing deep
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are sought. Applicants will have an engineering PhD, or equivalent degree and experience in a relevant field. Ideal applicants will have experience in energy-system transition modeling, linear and mixed