Sort by
Refine Your Search
-
Program
-
Employer
- Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna)
- Universität Wien
- Austrian Academy of Sciences, The Human Resource Department
- University of Natural Resources and Life Sciences Vienna
- Institute of Science and Technology Austria
- Nature Careers
- ;
- Alpen Adria Universität Klagenfurt
- Austrian Academy of Sciences
- Austrian Academy of Sciences, The Vienna Institute of Demography (VID)
- Danube Private University
- Food4Sustainability CoLAB
- IST Austria
- Materials Center Leoben Forschung GmbH
- Medical University of Vienna
- Technische Universität Wien
- University of Vienna (JOBCENTER)
- Vienna University of Technology: Institute for Analysis and Scientific Computing
- 8 more »
- « less
-
Field
-
: Completed Master in Mathematics, PhD in an area related to the themes of the project Excellent background in stochastic analysis, probability theory, statistics and mathematical finance and an open mind
-
administration This is part of your personality: Doctoral degree/PhD degree in Computer Science, Computational Linguistics, Statistics, or a related field Strong publication record in top-tier international
-
LevelPhD or equivalent Skills/Qualifications PhD in statistics, data science or a related field, e.g. mathematics, etc. Outstanding programming skills in R Ideally some experience in time-to-event analysis
-
conferences, supported by travel funding Your profile: • You completed a PhD in Sociology, Demography, Social Statistics, or a related discipline with a focus on quantitative methods (or are in the process
-
26 Mar 2024 Job Information Organisation/Company Alpen Adria Universität Klagenfurt Department Institut für Statistik Research Field Mathematics » Statistics Researcher Profile First Stage
-
fully funded (two-year) postdoctoral fellowships (10+ positions) for highly qualified candidates who have completed or will soon complete their PhD or equivalent in chemistry, data and computer
-
fellowships (10+ positions) for highly qualified candidates who have completed or will soon complete their PhD or equivalent in chemistry, data and computer science, earth and astrosciences, life sciences
-
well as several consulting, laboratory and simulation services in materials science.We are looking for highly motivate PhD-students who are interested in novel material related degradation analysis in the field
-
tasks: · Experimental work on erbium atoms in optical tweezers · Writing scientific publications · Tutor bachelor and master students and supporting supervision of PhD students
-
useful for biological discovery. You should hold a PhD degree in physics or engineering and should have a strong background in optics and developing complex microscope hardware. Experience building