Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- DAAD
- ;
- Carnegie Mellon University
- Nature Careers
- University of Cambridge
- Luxembourg Institute of Socio-Economic Research (LISER)
- The Ohio State University
- The University of Chicago
- Leibniz
- Purdue University
- Radix Trading LLC
- The University of Iowa
- University of Newcastle
- University of Oslo
- University of Texas at Austin
- Aarhus University
- Adelphi University
- Brookhaven Lab
- CISPA (at University of Stuttgart)
- ETH Zurich
- Fraunhofer-Gesellschaft
- Ghent University
- KINGS COLLEGE LONDON
- Pennsylvania State University
- Technical University of Denmark
- Technical University of Munich
- The University of Texas at Dallas
- Trinity College Dublin
- UNIVERSITY OF HELSINKI
- University of Bucharest
- University of Central Florida
- University of Groningen
- University of Lund
- University of Oxford
- University of Sheffield
- University of Texas at Dallas
- University of Zurich Blockchain Center
- Wageningen University & Research
- 28 more »
- « less
-
Field
-
programming skills (in Python, R or similar) and experience with large-scale data analysis using bioinformatic tools and pipelines to analyse and interpret biological data Attributes and Behaviour • Be
-
++, Python, Java) Good written and spoken English skills (min. level B2) Good written and spoken German skills (min. level B2) What we offer: Working in a family friendly and collegial environment with
-
way of working and quick comprehension; ability to quickly familiarize yourself with new concepts Enjoy scientific work in a cross-domain context. Good knowledge of programming languages (e.g. Python, R
-
hardware. Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience training ML models using large-scale and specialized hardware. Experience
-
Experience with Fortran, Python and Linux Shell Experience working with large datasets Preferred but not essential: Knowledge of wind farm parameterizations in mesoscale models Experience in the field of wave
-
of computer science, mathematics, applied mathematics or statistics. Applicants must demonstrate proficiency in machine learning or statistical modelling and have some experience with computing through Python, R or C
-
projects and staff, with an established international publication record, and success in leading research grants. Strong programming skills in a statistical language, such as R, Stata, Python or C/C++, etc
-
yourself quickly with new concepts. Enjoyment of scientific work. Very good/good programming skills (at least in Python and C++). Good written and spoken German (at least C1 level) and English. In-depth
-
this role, we are looking for candidates to have the following skills and experience: Essential criteria A working level knowledge of R and/or Python Some experience in independently designing a research
-
code via differential testing)We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C