Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Umeå University
- SciLifeLab
- Lunds universitet
- University of Lund
- Linköping University
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Nature Careers
- Stockholms universitet
- Lulea University of Technology
- Chalmers tekniska högskola
- University of Gothenburg
- Uppsala universitet
- Karlstad University
- Luleå University of Technology
- Blekinge Institute of Technology
- Jönköping University
- Umeå universitet
- Karlstads universitet
- Mälardalen University
- Örebro University
- Chalmers Tekniska Högskola AB
- Linnaeus University
- Stockholm University
- Chalmers
- Chalmers University of Techonology
- Epishine
- Fureho AB
- Högskolan Väst
- Institutionen för biomedicinsk vetenskap
- KTH
- Karolinska Institutet, doctoral positions
- Kungliga Tekniska högskolan
- Linkopings universitet
- Linköpings universitet
- Lund university
- Malmö universitet
- Mid Sweden University
- School of Business, Society and Engineering
- Umeå universitet stipendiemodul
- University of Borås
- 34 more »
- « less
-
Field
-
these phenomena. About the research project The topic of the PhD project will be about tunable self-assembled optical microcavities, and similar lines, summarized in these publications: The self-assembly processes
-
systems. The applicant is expected to contribute to ongoing projects and is encouraged to actively develop new lines of research within the field. Qualifications Eligible to apply are individuals with a PhD
-
studies. Documented experience in research communication. Eligibility Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD
-
to powder X-ray diffraction (PXRD) and Raman spectroscopy. The focus will be on niobates, tantalates, group V dichalcogenides, and noble-metal tellurides. The researcher will work together with PhD students
-
110 PhD students. The Department of Oncology-Pathology is responsible for undergraduate courses in Pathology, Oncology and Forensic Medicine for medical students, as well as for Tumor biology courses
-
in their computation. We want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several
-
algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
-
-fidelity qubits operations Design and implementantion of automatic calibration techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree
-
++, maintained on github and configured via python. You will work with .root files and explore different event generators as well as machine learning tools and algorithms. The nature of LDMX as an international
-
develop new communication theory and signal processing algorithms. The goal will be to develop theory, algorithms, and network architectural concepts to deliver ubiquitous network services across the globe