431 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM"-"L2CM" positions in Denmark
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the relationship between the evolution of life and the evolution of the Earth surface environment. This group is part of the bigger Nordcee group of the Biology Department of the University of Southern Denmark
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microbes in the human gut – and the development of cardiometabolic diseases (CMD) such as obesity, type 2 diabetes, and cardiovascular disease. The goal is to generate knowledge that can lead to new
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Faculty position in Molecular Health (Tenure-Track Assistant Professor / Associate Professor) at ...
for candidates interested in providing a molecular, mechanistic understanding of central processes in physiology, development and disease. Relevant research areas include molecular aspects
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optimization, using machine learning and advanced metaheuristics. Furthermore, you should (together with the team) participate in development of solvers for stochastic optimization problems and test the methods
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-based environments), science teachers and teaching (including faculty development and pedagogical competence), and science students’ experience, engagement and study paths, including student wellbeing in
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product development across fintech, SaaS, or payment infrastructure contexts, including data-driven business models, responsible AI, and AI-assisted workflows, as well as the ability to bridge technical and
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to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value
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neuromuscular research and molecular muscle biology your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research
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to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for the benefit of all. At DTU Compute, we value diversity, inclusion, and a flexible work-life
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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development