Topic: computational methods

Develop theory and computational methods for complex biomolecular systems in Helmut Grubmüller’s group. Topics include variational free-energy methods, solvation-shell thermodynamics, constant-pH simulations and Markovian thermodynamics, with applications to ribosomes, fatty-acid synthase, CRISPR systems and intrinsically disordered proteins. Doctoral appointments initially last three years and postdoctoral appointments two years, with extension possible; remuneration follows TVöD. Start dates are flexible and applications remain open until filled.

Join Maarten de Hoop in Rice’s Department of Computational Applied Mathematics and Operations Research to investigate machine learning and inverse problems. The appointment lasts two years, with a possible third year dependent on funding and performance, and may start on or after 1 July 2027. Teaching is optional. The group connects applied analysis and computational methods with interdisciplinary research. Submit a cover letter, detailed CV, research statement, publication list and at least three references by 28 February 2027.

The National Library of Medicine supports computational methods that make biomedical research assets easier to curate and reuse at scale. Projects can address data, software and models through scalable, reliable approaches, including machine learning. Clinical trials are excluded. The award supports up to USD 250,000 in direct costs per year for up to four years. The next deadline available to new applications is 15 January 2027; the October 2026 date is for resubmissions and related application types.

Lead research on distributed neural computation and brain evolution using the acoel Hofstenia miamia. The project combines circuit imaging, activity recordings, neural perturbations, behavioural analysis and computational methods to explain how repeated circuit units produce coordinated, adaptive behaviour. This is a full-time, four-year appointment in London, starting from £47,500 annually with benefits. The institute states that this role is eligible for UK visa sponsorship. Applications close on 11 October 2026 at 23:59, according to the current employer advert.

Undertake doctoral research on psychiatric genomics at the UCT Neuroscience Institute, supervised by Megan Campbell. The project uses large-scale genomic analysis, statistical genetics and computational methods adapted to diverse and admixed populations. Training is tailored to the project and includes contributions to community engagement. A grant-funded stipend supports the position from early 2027; continuation after year one depends on satisfactory progress.

Ethan Meitz and Jerry Wang discuss molecular simulation, heat transfer and the conversations that have shaped Meitz’s doctoral research. The episode connects computational methods with collaboration and mentoring, offering a practical view of research supported by the DOE Computational Science Graduate Fellowship.

AI embedded in real systems, such as in satellites, robots and other autonomous devices, must make fast, safe decisions even when the environment changes, or under limitations on the available power; to do so, such systems must be adaptive in real time. To date, edge computing has no real adaptivity – rather the AI must be trained in advance, typically on a large dataset with much computational power needed; once fielded, the AI is frozen: It is unable to use its experience to operate if environment proves outside its training or to improve its expertise; and worse, since datasets cannot cover

If we can make computers play chess and even Jeopardy and Go, then why can't we make them see like us? How does our brain solve the problem of seeing? I will describe some of our recent insights into understanding object recognition in the brain using behavioral, neuronal and computational methods.