Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
", specialises in applied research for digital security and is a pioneer in developing highly innovative concepts, algorithms and systems for anomaly detection, cyber threat intelligence, penetration testing and
-
interactions with microbial ecologists, geneticists and evolutionary biologists. You will work in an interdisciplinary project that includes local and international collaborations. The expectation is that you
-
novel algorithms, aiming for theoretical guarantees when working with structured and unstructured data. Pursue and complete a PhD thesis within the appointed 4-year duration. Join the Vienna Doctoral
-
and the Faculty of Physics. We are seeking a highly qualified researcher with a strong background in tensor network methods, in particular the development of numerical tensor network algorithms, and
-
stimulating environment with interactions with microbial ecologists, geneticists and evolutionary biologists. You will work in an interdisciplinary project that includes local and international collaborations
-
publication projects Application of statistical methods and advanced algorithms for the analysis and interpretation of research data Visualization and presentation of analytical results for scientific
-
projects Application of statistical methods and advanced algorithms for the analysis and interpretation of research data Visualization and presentation of analytical results for scientific publications
-
initially fixed-term for 1 year, with the possibility of being made permanent by mutual agreement. Your future tasks: In this role, you will: implement algorithmic approaches and machine learning models
-
. The position is initially fixed-term for 1 year, with the possibility of being made permanent by mutual agreement. Your future tasks: In this role, you will: implement algorithmic approaches and machine learning
-
for you? Welcome to our team! Your future position is at the Department of Botany and Biodiversity Research in the Plant Phylogenomics Group within the Division of Systematic and Evolutionary Botany