Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Zintellect
- University of Tennessee at Chattanooga
- Curtin University
- Newcastle University
- Istituto Nazionale di Fisica Nucleare
- Princeton University
- University of Arkansas
- University of Manchester
- University of Oxford
- Aurora Education Foundation - Scholarships and Bursaries
- DAAD
- IMCBio graduate school
- Karlsruhe Institute of Technology
- LINGNAN UNIVERSITY
- Massey University
- Max Planck Institutes
- McGill University
- Ministry of Education
- Oregon State University
- Queensland University of Technology
- The Chinese University of Hong Kong
- The University of Auckland
- Tilburg University
- University of Greenwich
- University of Tennessee, Knoxville
- 16 more »
- « less
-
Field
-
19 Dec 2025 Job Information Organisation/Company Karlsruhe Institute of Technology Department KIT Center MathSEE Research Field All Biological sciences Chemistry Computer science Mathematics
-
quantitative field, ideally with a strong focus on computational practice Strong mathematical and statistical background, with pronounced analytical and problem-solving skills Proven programming expertise in
-
. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C
-
, earth sciences, energy systems, or material sciences University degree (M.Sc. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a
-
. Your Profile: A Masters degreee with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
-
, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good
-
Scholarship supports female tertiary students intending to take a full-time course of study in science, technology, computer engineering, mathematics, data science and cyber security at any New Zealand tertiary
-
computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer science, or mathematics (or a related field), with a focus on robot vision and control, image processing
-
international conferences Supervise student theses Your Profile: Excellent Master`s degree with a strong academic background in computational engineering, mathematics, computer science, physics, engineering or a
-
LLMs (e.g. Python); Strong written and oral communication skills. Having a good command of NLP methods will be an asset. Master’s degree in Mathematics, Statistics or Computer Science, or equivalent