Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- HONG KONG BAPTIST UNIVERSITY
- Technical University of Munich
- The University of Chicago
- Nature Careers
- Binghamton University
- Duke University
- AALTO UNIVERSITY
- Bucharest Universty of Economic Studies
- CNRS
- Chalmers University of Technology
- DAAD
- Fundació per a la Universitat Oberta de Catalunya
- George Mason University
- University of Luxembourg
- University of Texas at El Paso
- Academic Europe
- Auburn University
- Babes-Bolyai University
- Brunel University
- CIC nanoGUNE
- CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto
- City University of Hong Kong
- Columbia University
- Constructor University Bremen gGmbH
- Cornell University
- Faculty of Sciences of the University of Porto
- Fondazione Bruno Kessler
- Harvard University
- Heidelberg University
- Hong Kong Polytechnic University
- IMEC
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Institute for Basic Science
- Institutionen för akvatiska resurser
- Josep Carreras Leukaemia Research Institute (IJC)
- Maynooth University
- Michigan State University
- NORCE Norwegian Research Centre
- NTNU Norwegian University of Science and Technology
- Northeastern University
- Purdue University
- Swedish University of Agricultural Sciences
- THE UNIVERSITY OF HONG KONG
- Universidade de Trás-os-Montes e Alto Douro
- University of A Coruña
- University of Bergen
- University of Cambridge;
- University of Massachusetts Medical School
- University of South Carolina
- University of St. Thomas
- University of Texas Rio Grande Valley
- 41 more »
- « less
-
Field
-
. Lead and conduct research projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data
-
willing to work in a collaborative environment. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high
-
, or a closely related field Strong programming skills, e.g., Python, and familiarity with machine learning and/or software engineering workflows; experience with Git and empirical evaluation Experience
-
projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome
-
will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
-
the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related areas. The appointee is expected to conduct high-impact research
-
well as innovative and inquiry-based teaching and learning. The Faculty consists of six departments as well as a Faculty administration. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/296312/phd
-
publications and present them at well-known international conferences and workshops. Your profile M.Sc./M.Eng. Degree in telecommunication engineering, signal processing, machine learning or a closely related
-
projects of the MQS group. Our recent research has focused on the theory and applications of variational quantum algorithms and quantum machine learning. We also have activity in quantum optics, so
-
lab’s website https://sites.duke.edu/corinnelinardiclab/ . Be You Work Performed · Perform literature reviews to guide research · Design and execution of standard in vitro assays ongoing in the lab