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Requested start date: 01/10/2025 Contract type: Post Doctoral Education: Doctoral (PhD) Experience : 1-5 years You hold a doctoral degree (obtained less than 3 years ago) with a specialization in numerical
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) Solid expertise in qualitative social research (e.g., conducting qualitative interviews, analysing qualitative data); basic knowledge of quantitative data collection and statistical analysis is an asset
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. Ability to work independently but also as part of a larger interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI
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dependencies on the electrical properties will be assessed. In addition, AC and DC breakdown voltage testing will be performed on the various laminates and the results will be statistically analyzed in order to
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team composed of researchers, engineers, bioinformaticians, biostatisticians and a project manager. The ideal candidate should hold a Ph.D. in Population genomics, Statistical Genomics, Evolutionary
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Your profile PhD in psychology, with a focus on at least one of the below areas: Cognitive psychology Differential psychology Neuropsychology Evaluation and Assessment Methodology and Statistics Interest
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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industrial partners · Actively collaborating with other researchers to promote interdisciplinary activities internally and externally · Mentoring post-doc researchers and PhD students
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expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience
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statistically significant results on ferroelectric capacitor performance. The post-doctoral research will give a better understanding of the influence of dopants on local chemistry, electronic structure, phase