385 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Chalmers University of Technology
- Swedish University of Agricultural Sciences
- Umeå University
- SciLifeLab
- Nature Careers
- Linköping University
- Lulea University of Technology
- Mälardalen University
- Linnaeus University
- Karlstad University
- Blekinge Institute of Technology
- Jönköping University
- University of Borås
- KTH
- Karolinska Institutet (KI)
- Lunds universitet
- Örebro University
- KTH Royal Institute of Technology
- Sveriges lantbruksuniversitet
- ;
- University of Gothenburg
- Uppsala University
- Uppsala universitet
- 14 more »
- « less
-
Field
-
a requirement. Documented skill in leading and developing research concerning various types of environmental chemical analyses and underlying questions that span multiple research areas is a
-
that may remove such constraints, leading to a fundamental challenge: the potential co-existence of genetically distinct clones, each supporting multiple stable cancer cell states. To understand the effect
-
mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
-
nationalities, backgrounds and fields. As a postdoctoral researcher, you receive benefits in career development, networking, administrative and technical support functions, along with good employment conditions
-
with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
-
information and follow-up actions. Continuously develop and maintain procedures to facilitate effective planning of the Director’s commitments; interact with other administrative and research-related structures
-
This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
-
to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this position, you will be working as part of a
-
and in vivo model systems, applying multiple omics methods. You will be working with clinical samples, method development and several molecular biology techniques, especially PCR and sequencing as
-
autonomous systems and their impact on human and social development. WASP-HS enables cutting edge research, expertise, and competence building in the humanities and social sciences. The WASP-HS graduate school