Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Linguistics
- Materials Science
- Mathematics
- Science
- Chemistry
- Arts and Literature
- Humanities
- Social Sciences
- Business
- Electrical Engineering
- Environment
- Earth Sciences
- Physics
- Education
- Law
- Psychology
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
•Degrees Accepted: Bachelor's or Master's in any of the listed or closely related fields.•Languages: Proficiency in English (language tests may be requested during the visa process).•Commitment: Applicants
-
of Homo sapiens in southern Africa between 100,000 and 50,000 years ago. Its main goal is to unravel where, when, and why early humans started to think and behave the way we do today, by combining
-
is called higher education in your home country. Please confer the GSUlist for relevant information pertaining to your home country: https://hkdir.no/en/foreign-education/lists-and-databases/higher
-
://hkdir.no/en/foreign-education/lists-and-databases/higher-education-entrance-qualification-gsu. Your master’s degree (or equivalent) must constitute at least one full year of studies (60 ECTS), and must
-
criteria You must have an academically relevant background within architecture or urban planning, preferably related to impacts on migration and social inclusion. You must have a Master's degree in
-
academic staff early in the process. The intended main supervisor must be employed at one of the Faculty's departments and be part of the relevant research group/network. Supervisors are required to satisfy
-
the department not be able to fill its positions. Positions listed below may or may not be available, depending on need. For more information about this position, contact ridgs@umn.edu This Position is covered by
-
application areas such as the ones listed below:CROSS-DISCIPLINARY RESEARCHNanomaterials &NanofabricationNanocharacterisationModelling and simulationAPPLICATION AREAS
-
, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
-
all the scientific merits of the candidate, motivation letter, list of 2 persons that could provide recommendation for the candidate and copies of verified diplomas from high school and universities