1,339 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Austria
- Denmark
- United Kingdom
- France
- Worldwide
- India
- Spain
- Belgium
- Canada
- Sweden
- Mexico
- South Africa
- Hong Kong
- Switzerland
- Luxembourg
- Italy
- Singapore
- United Arab Emirates
- Australia
- Finland
- Netherlands
- Ireland
- Japan
- Poland
- South Korea
- Turkey
- Argentina
- Barbados
- Czech Republic
- Guadeloupe
- Israel
- Norway
- Portugal
- Taiwan
- Vietnam
- 27 more »
- « less
-
Program
-
Field
-
printing) and computer-assisted load analysis Expertise in the numerical simulation of realistic loading scenarios of the musculoskeletal system Your Profile: The future position holder has an academic
-
at: https://www.mathjobs.org/jobs/list/26129 · Physics: Theoretical physics; quantum physics and information; statistical physics and complex systems; condensed matter physics; biological and chemical physics
-
of novel probabilistic deep-learning models that automatically extract mechanistic and statistical knowledge from your in vivo perturbational omics data. This interdisciplinary atmosphere has been a main
-
-emitting devices and other advanced optoelectronic applications. The positions are based in the Green Nanodots Group (https://www.umu.se/en/research/groups/green-nanodots/ ), Department of Physics, Umeå
-
Director of the DKFZ, Professor Dr. Dr. h. c. Michael Baumann, via the DKFZ online application tool, quoting the relevant reference number (https://www.dkfz.de/en/career/jobs). Please also note that we
-
bibliography and names with addresses of two references to the online application. Apply for this position online at: http://apply.interfolio.com/177044 Clinician-Educator Track - Clinical responsibilities
-
and/or Drishti software packages for reconstructing CT data. Basic knowledge about machine learning is of advantage. Very good English skills. High motivation to strive for scientific excellence and to
-
of immune cell function. These projects are focused on making safer and more effective cell therapies (e.g., CAR-T) and gene therapies for cancer and beyond. We are an interdisciplinary lab spanning
-
and knowledge transfer. Discipline, including, but not limited to: Electronic and Information Engineering, Computer and Data Engineering, Electronic and Electrical Engineering, Information Engineering
-
2026. The interested individuals are expected to fill in the following form: https://form.jotform.com/260435174909360 . They will be able to upload the requested documentation directly on the form (as