496 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions in United Kingdom
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-pathogen signalling networks in macrophage infection models. You will work in the laboratory of Dr Dominic Byrne, and in collaboration with Claire Eyers from the Centre of Proteomic Research (CPR). You
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models to study direct interaction between macrophages and other tissue resident cells. Additionally, you will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining
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Associate with mathematical modelling and numerical/data analysis background to join our food system resilience project, led by University of Reading, joining a large interdisciplinary team with an excellent
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South Asian Muslims in the West Midlands perceive and categorise narratives in education and health settings. Focusing on data collection from selected settings our analysis focuses on recurring and
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will be responsible for co-designing and executing research programmes related to different aspects of thymus biology employing informative experimental models and a broad range of analytical platforms
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, Chief Scientist of FISC (https://forestinvasion.cz/en/r-20696-team ). Position Qualifications: PhD completed at least 4 years ago and, substantial research experience including supervision of students
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capabilities o Demonstrated experience with machine learning and/or statistical modeling o Expertise in handling large-scale, complex datasets with strong data wrangling skills o Strong publication record
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part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing . Further Information The position is available
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University’s students and visitors should apply as external candidates with personal (not aalto) email. For more information regarding the open position, please contact Dr. Talvikki Hovatta, talvikki.hovatta
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. This is part of your personality: Completed doctoral/PhD studies in the field of chemistry, pharmacy and similar fields Excellent knowledge in computer-aided drug design and medicinal chemistry Publications