Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
- Computer Science
- Engineering
- Materials Science
- Biology
- Chemistry
- Medical Sciences
- Economics
- Mathematics
- Arts and Literature
- Linguistics
- Environment
- Science
- Law
- Psychology
- Business
- Electrical Engineering
- Philosophy
- Earth Sciences
- Humanities
- Social Sciences
- Physics
- Sports and Recreation
- 12 more »
- « less
-
. As part of the SPP, the SoilEnergySpots project is jointly led by Prof. Dr. Nicole Strittmatter (Analytical Chemistry), Prof. Dr. Mirjana Minceva (Biothermodynamics), and Dr. Steffen Schweizer (Soil
-
, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Please contact the supervisor, Prof Matt Gibson (matt.gibson
-
to the groups research culture, focussed on team work. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering
-
, allows for flexible sampling plans. Prof. Jelle Goeman co-developed the closed testing framework that gives flexibility for defining research questions in a data-dependent way. Thirdly, we add permutation
-
machine learning, engineering, data sciences, applied mathematics, or another related field; or Have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
-
well as topics in phylogenetics. This project will involve working closely with experimentalists, and will be co-supervised by Prof Gerald McInerney and Dr Daniel Sheward, who have expertise in virology and
-
. To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in computer science, image analysis and machine learning, engineering, data sciences, applied mathematics
-
Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
-
physiology etc. This PhD project is suitable for applicants with a background in Electrical and Electronic Engineering or closely related fields. Candidates with a strong interest in RF engineering and/or
-
conducted according to national guidelines for University and Technical College PhD scholars. For further information, please contact Prof. Egil Prestløkken (main supervisor), E-mail: egil.prestlokken@nmbu.no