26 phd-machine-learning "MIT" positions

PhD Student – Medical Informatics (m/f/d)

is expected An excellent mathematical background and experience in software development is required Experience in developing and applying statistical and/or machine learning-based computational methods

PhD student in visualization with a focus on collaborative design

leader in interdisciplinary, applied research with expertise in visualization, design, computer graphics, and learning science. The research nexus for the division is the Visualization Center C, a unique

Epidemiologist / Data Scientist (m/f/d)

large data sets. Experience in machine learning techniques would be an asset Knowledge of infectious diseases. Knowledge of diagnostics research would be an asset Proficiency in coding and analysis using

Postdoc/Research Associate at NYU in Machine Learning/Scientific Computing for high-dimensional systems

goal of this project is to develop machine learning techniques to improve climate change simulations. M²LInES is composed of more than 30 scientists at NYU, Columbia, MIT, Princeton, GFDL, NCAR and CNRS

Pre-Doctoral Fellowship (Prof Gabaix)

analysis, programming. You aspire to do a PhD in economics / finance later. For the style of research involved in the “Machine learning” track, see the paper “Asset Embeddings ” at https://papers.ssrn.com

MODÈLES NEURONAUX AUTO-ORGANISATEURS ET IMPLANTATION MATÉRIELLE POUR L'APPRENTISSAGE CONTINU.

models and algorithms for the efficient dynamic collection of data from a distributed network of sensors when such data are requested by a machine learning process. Firstly, the student will have to

PhD Studentship - Mimicking Quantum Phenomena on a Silicon Metasurface for Automotive LiDAR

include participating in the development of machine learning-based design methodologies alongside experts from Southampton and MIT (USA). Additionally, you will engage in the nanofabrication of designed

PhD/Postdoctoral Researcher (m/f/d) Underwater Robot Manipulation in Environmental Monitoring Scenarios

mentality for cutting-edge research in various fields including robotics, machine learning and systems intelligence. An exceptional opportunity to experience research in a highly inspiring international

Associate Research Scientist

We are looking for an Associate Research Scientist to work at the interface between climate modeling and machine learning. The successful applicant will perform research as part of the multi

Research assistants - National Centre for Register-based Research, Aarhus University

. using programs like PLINK, bigsnpr, regenie, BOLT-LMM, GCTA, LDSC, LDAK, LDpred1/2, PRS-CS, SBayesR, PRSice. Machine learning approaches, e.g. deep learning, autoencoders, XGboost, or penalized regression