42 results
Three-year salaried doctoral appointment studying the expressivity, robustness and verification of neural models of automata. The project connects systems theory, statistics, optimization and formal methods, examining recurrent networks, attention mechanisms and state-space models. Work includes theoretical analysis, experimental algorithms and scientific…
Prof Maura Malpetti's lab in the Department of Clinical Neurosciences studies inflammation in frontotemporal dementia through ON-FIRE (Open Network for Frontotemporal dementia Innovation Research), a UK-wide multi-centre study collecting data at more than 40 sites. The postholder leads statistical analysis and data management for blood biomarkers measured…
Pursue independent and collaborative mathematical research at the Center for Systems Biology Dresden, connecting applied algebraic geometry, topology, computational geometry, differential equations, stochastics or statistics with questions in the life sciences. Researchers collaborate with experimental biologists and an interdisciplinary…
Develop interpretable computational tools for molecular and spatial analysis of tumour-cell plasticity in pancreatic ductal adenocarcinoma. Within the AIMPACT collaboration, the BioTiC team seeks an engineer to turn prototype differential-network software into a documented Python package, add visualization and example notebooks, and identify regulatory…
Postdoctorat de 36 mois à Grenoble dans le projet ANR BEAUT, à partir du 1er mars 2027. Les travaux exploitent les collisions plomb-plomb du Run 3 d’ALICE au LHC pour déterminer le transport des quarks lourds dans le plasma de quarks et de gluons. La personne recrutée développera un étiqueteur de jets de beauté par apprentissage automatique, mesurera leur…
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Develop computational and mathematical methods for soil microbiomes in the Quince Group. The work combines long- and short-read metagenomics with metatranscriptomics, resolves strain diversity using statistical models, and supports predictive models of natural soils and synthetic microbial communities. The full-time appointment lasts three years, with…
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Develop a Python library for evaluating theoretical generalization bounds in deep learning within the SIERRA team and ERC DYNASTY project. The role connects learning theory with practical neural-network evaluation through modular scientific software, empirical experiments and publications. The two-year appointment has a planned start of 1 December 2026.…
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The Astrophysical and Cosmological Relativity department offers junior and senior postdoctoral appointments lasting two to five years. Research connects analytical strong-gravity modelling, numerical relativity and gravitational-wave observations, including LIGO, Virgo, KAGRA and future detectors. Themes include waveform generation, accelerated inference,…
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Model how climate change affects floods, droughts and wildfire, including the hydrological consequences of fire-altered vegetation and soils. Combine CMIP6 or ISIMIP climate ensembles, land-use projections and probabilistic analysis to identify future hazard hotspots under Shared Socioeconomic Pathways. Results support a Bristol-led consortium studying…
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Develop quantitative-genetic and genomic methods for aquaculture breeding, combining multi-trait and multi-environment prediction with optimisation and data science. Research covers Look-Ahead Genomic Selection, haplotype stacking and breeding strategies balancing genetic gain, resilience, adaptability, sustainability and genetic diversity. Build simulation…
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Join the PERCS project’s spatial-science synthesis work on perennial restoration in agricultural landscapes. Model ecological and biodiversity benefits, prioritize restoration locations and build a practical digital tool for project partners. Collaborate across disciplines and communicate findings through papers, reports and workshops under Matthew…
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Develop Bayesian calibration methods that explicitly represent model error in structural dynamics. The PLATON team will compare informative calibration quantities, implement and benchmark algorithms, and accelerate inference with surrogate models. The work aims to improve finite-element predictions under uncertain material, boundary and loading conditions.…
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Develop pretrained models of functional, diffusion and structural MRI that predict individual cognition with calibrated uncertainty. The ANR-funded MIND–GIN Bordeaux collaboration combines preprocessing and harmonization of large datasets, generative and self-supervised models, and transfer to smaller cognitive-neuroscience studies. The doctorate will…
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Join the Algorithms and Visualization Group in ETH Zurich’s Social Networks Lab to develop methods for football match and performance analysis. Research uses event and player-tracking data and includes collaboration with professional football stakeholders, teaching and student supervision, and development of an independent research agenda. The full-time…
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Join the Statistical Laboratory as an Assistant Professor, with statistics interpreted broadly from mathematical foundations to machine learning. The role combines independent research, undergraduate and master’s teaching, funding development and collaboration. The intended start is September 2027 or by agreement. The appointment leads to tenure following…
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Statistical Sciences invites applications for a tenure-stream position starting July 1, 2027. Research should advance computational foundations of data science, including simulation, inference, optimization, randomized numerical methods or scalable high-dimensional algorithms. The role combines independent funded research with teaching and service. A…
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A four-year postdoctoral appointment within NewPhysCMB studies cosmological parity violation using polarized microwave data. The researcher will analyse FYST/Prime-Cam measurements, TB and EB correlations, Galactic dust foregrounds and polarization-angle signals with Eiichiro Komatsu and the CCAT collaboration. The nominal start is 1 September 2027; an…
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Develop an independent research and teaching programme in fundamental machine learning. Relevant directions include post-transformer architectures, continual learning, probabilistic and causal models, uncertainty quantification, learning theory, symbolic-statistical methods, robust learning and scientific discovery. The appointee will supervise master’s and…
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CIERA recruits researchers for autumn 2027 appointments in theoretical astronomy and astrophysics. Areas of interest include gravitational-wave analysis, stellar and compact-object evolution, interacting binaries, statistical and machine-learning methods with Vicky Kalogera, and protoplanetary and accretion-disk theory with Yoram Lithwick. Researchers…
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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…
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UC San Diego Mathematics seeks an assistant professor in mathematical statistics or a closely related area, starting July 1, 2027, subject to funding availability. Candidates should demonstrate strong research and teaching potential. The advertised salary estimate is USD 134,100–158,900. Apply by October 22, 2026 at 11:59 p.m. Pacific Time for full…
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A 16-month statistical programming contract supporting clinical studies and regulatory submissions. The programmer develops and validates SAS analyses, creates CDISC datasets and prepares tables, figures and listings. The role collaborates with biostatistics, data management and clinical operations. Based in South Boston, Massachusetts, the employer…
Develop research linking statistical physics with statistical machine learning. The appointment brings together theory and computational methods to study information, inference and dynamics.
Lead biostatistics and the wider biometrics function for Prime Medicine’s gene editing clinical programmes. The role develops trial designs, endpoints, dose-escalation strategies and analysis plans while overseeing clinical data management and statistical programming partners. It supports regulatory interactions and quantitative decisions from protocol…