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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
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full-time, three-year fixed-term contract starting in September 2025 (or later by agreement). The position includes a six-month trial period. Postdoc applicants must hold a doctoral degree by the start
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author) in the field of computational biophysics (molecular dynamics simulations and/or quantum chemistry). Any experience in development and application of AI/ML methods in tandem with modeling and
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significant merit: (mammalian) cell culturing techniques, in vivo models, high throughput screening, molecular biology or bioinformatics excellent written and verbal communication skills (in English) strong
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Cancer Medicine at the Faculty of Medicine, University of Helsinki. The project will focus on developing approaches for gene regulatory network modeling on deconvoluted bulk data, with applications to pan
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driving cancer heterogeneity and progression by integrating genomic data into genome-wide regulatory networks. Current projects include (i) modeling distal regulatory interactions, (ii) modeling networks
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" button. Applicants are requested to enclose with their applications the following documents as pdf-files: A curriculum vitae List of publications (following the model of the Research Council of Finland
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to: Develop and apply machine learning models for analyzing complex datasets related to nature conservation. Establish and maintain code and data repositories to ensure efficient workflow and collaboration
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-requisite for the position. Previous experience of working with in vivo models of cancer is considered an advantage. Strong command in written and spoken English is required. The chosen applicant is expected