Sort by
Refine Your Search
-
Listed
-
Employer
- University of Lund
- SciLifeLab
- Umeå University
- Linköping University
- Nature Careers
- Örebro University
- ;
- Chalmers University of Technology
- European Magnetism Association EMA
- KTH
- Linnaeus University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- WORLD MARITIME UNIVERSITY (WMU)
- 4 more »
- « less
-
Field
-
the position, contact Prof. Eva Särndahl, +46 19 30 3684, e-mail: eva.sarndahl@oru.se , Dr. Andi Alijagic, +46 19 30 2342, e-mail: andi.alijagic@oru.se , or Head of Unit Dr. Wessam Melik, +46 19 30 1307
-
. Familiar with robotic control systems, perception, and kinematics. Comfortable working in Linux environments with tools such as Git. Knowledge of MATLAB for simulations and algorithm prototyping. Basic
-
to teach a wide spectrum of entry level courses in English in, among others, programming, algorithmic problem solving, data structures, programming languages, and the analysis of algorithms. The applicant
-
) Stockholm and supervised by Assoc. Prof. Stefania Giacomello. Supervision: Stefania Giacomello is proposed to supervise the doctoral student. Decisions are made on admission What we offer Admission
-
: Experience in tree breeding, knowledge of selection algorithms/predictive models, programming skills, experience in breeding simulation, first authorship, conference presentations, strong problem-solving
-
candidate’s qualifications and experience. For more information about the position, contact Prof. Mauro Conti (mauro.conti@oru.se ). For administration issues, contact Prof. Martin Magnusson (+46 19 303870
-
and development of algorithms, methods, and theories aimed at better understanding the properties and underlying mechanisms within statistical and deep learning-based systems also in the presence
-
(lth.se). We invite applications for one to two PhD positions dedicated to developing methodologies for the automated analysis and design of first-order optimization algorithms. Such algorithms form
-
: You will develop software tools, algorithms, and other software components. These should be evaluated in realistic scenarios and integrated with, as well as shared within, the project team. Presentation
-
like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is