Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Forschungszentrum Jülich
- Leibniz
- Technical University of Munich
- DAAD
- Heidelberg University
- GESIS - Leibniz Institut für Sozialwissenschaften
- Nature Careers
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- University of Potsdam, Department of Human Resources
- University of Potsdam, Faculty of Science
- Academic Europe
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- GFZ Helmholtz-Zentrum für Geoforschung
- HBIGS Heidelberg Biosciences International Graduate School
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Meteorology •
- Senckenberg Gesellschaft fuer Naturforschung
- The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence
- University of Konstanz
- University of Tübingen
- 12 more »
- « less
-
Field
-
data analysis (genomic and transcriptomic) (UNIX, LINUX, R, Python or similar). Experience with microscopy and/or histological techniques is an advantage. Excellent English skills (written and spoken
-
HBIGS Heidelberg Biosciences International Graduate School | Mannheim, Baden W rttemberg | Germany | 11 days ago
experts for your personal development · Allows scientific independence and flexibility for nurturing your ideas and concepts Where to apply Website https://www.hbigs.uni-heidelberg.de/en/your-application
-
related field Solid understanding of machine learning, especially deep learning and transformer models Practical experience with Python and ML frameworks (e.g., PyTorch, HuggingFace, NumPy, sklearn) Basic
-
technologies and laboratory setups. Knowledge of and proficiency with optical software and photonics tools. Knowledge of (Python and C) programming for test data analysis. Knowledge of opto-mechanical systems
-
programming skills in Python Experience with scientific Python tools such as pandas, scikit-learn, matplotlib, and Jupyter; experience with PyTorch is a plus Familiarity with microbiome data analysis
-
environments, e.g., Python, R, Microsoft Azure AI Studio, RapidMiner, Dataiku, etc. Methodological and statistical competencies (e.g., for analytics) Experience with cloud platforms such as Amazon Web Services
-
processes of the critical zone For further information visit our website http://www.fz-juelich.de/ibg/ibg-3/EN/Home/home_node.html or contact Prof. Dr. Anja Klotzsche. Your Profile: Master’s degree in
-
familiar with data analysis using programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong
-
Experience with, or strong motivation to learn, programming (Python) and advanced data analysis methods Excellent oral and written communication skills in English Ability to communicate results clearly in
-
Previous experience in protein biochemistry, LC/MS based mass spectrometry Previous experience in handling omics data analysis using software Experience in R and python is a plus but not mandatory Good