33 machine-learning-"https:"-"https:"-"https:"-"CNRS" Postdoctoral positions at Mathjobs.org

Postdoctoral Associate

families of algorithms for cryo-electron microscopy (cryo-EM) and broader applications in data science * Protein structure prediction: Combining traditional and machine learning approaches to protein

Postdoctoral Associate

mechanics, machine learning or applied/computational mathematics. ● Demonstrated ability to carry out original mathematical derivations and/or develop computational tools, evidenced by publications

Research Associate (Postdoc) – 2nd qualification period (for the initial appointment to a full professorship)

focuses primarily on geometric analysis, spectral geometry, and differential geometry on singular spaces, preferably with connections to Finsler geometry, discrete geometry, or machine learning. Your

Postdoctoral Research Associate in Rough Path Theory for Applications

responsibility for carrying out research in rough path theory, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational infrastructure

TMDC Postdoctoral Associate

applications are particularly encouraged to apply. Expertise in statistical or machine-learning methods is also welcome, as connection with experimental and clinical data is important for our work. Prior

Tenure-Track Faculty Position in Mathematics for AI and Scientific Discovery (2027–2028)

position targets researchers whose primary methodological contribution lies in artificial intelligence, machine learning, probabilistic modeling, or their mathematical foundations, rather than primarily

POSTECHCM2LAPOSTDOC

Postdoctoral Fellowship at POSTECH Center for Mathematical Machine Learning and its Applications (CM2LA) The Center for Mathematical Machine Learning and its Applications (CM2LA), affiliated with the

PIMS Postdoctoral Fellowships (BY NOMINATION ONLY)

instructions regarding all aspects of the MathJobs application procedure may be found in the online MathJobs user guides.) All nominees apply through MathJobs. PIMS-CNRS and PIMS-Simons fellows are

Postdoctoral Fellow

+ Research Talent Initiative at SFU. Applications are encouraged from candidates working in areas aligned with the Chair's mission, with priority given to: * Scientific Machine Learning; * Advanced

2027 Luis W Alvarez and Grace M Hopper Postdoctoral Fellowships

fellowships. The successful candidates will participate in research activities in computer science, mathematics, data science, machine learning, AI, or any computational science discipline of interest to