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sustainable energy technologies. About us The Division of Chemical Physics conducts internationally recognized research at the interface of physics, chemistry, materials science, and data science. Our research
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to the relevant numerical methods. Looking forward, the research line explicitly aims to welcome new mathematical theories and computational paradigms, with the goal of connecting them to ACT projects and space
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at the interface of nonlinear mechanics, statistical mechanics, and disordered materials. Central themes may include mechanical instabilities, localization, fracture and damage, collective response in heterogeneous
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. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis
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zoonotic spillover by changing human and wildlife movement, stress, and behavior). This position requires a PhD in ecology, disease ecology, epidemiology, or related fields and the successful applicant must
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Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you
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Deadline 20 Jul 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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) Established Researcher (R3) Application Deadline 22 Jul 2026 - 00:00 (UTC) Country Morocco Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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. Xiaojie Qiu (Genetics & Computer Science)(link is external) and Dr. Matteo Molè (Obstetrics & Gynecology)(link is external) . Our goal is to explore the “black box” of early human pregnancy by mapping
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(Investigating how climate change may increase risk of zoonotic spillover by changing human and wildlife movement, stress, and behavior). This position requires a PhD in ecology, disease ecology, epidemiology