Sort by
Refine Your Search
-
University degree in data science, computer science, information science, computational ecology, statistics, or equivalent Competence in Python, R or other relevant programming languages (knowledge of LabView
-
on marine research. As part of a joint appointment procedure (§ 20 of the BremHG), the position of Head of Program Area III "Communication of Marine-Related Sciences" at the German Maritime Museum | Leibniz
-
natural sciences expertise in materials science and materials engineering, in particular methods of computational material science (e.g. DFT, CALPHAD) programming skills, e.g. Python basic knowledge of data
-
in Bioinformatics, Computational Biology, Biostatistics, Data Sciences or related discipline. Alternatively, PhD in Molecular Biology, Immunology, Biomedicine or related discipline with extensive
-
people and nature. We are looking for an internationally recognized scientist (m/f/d) in the field of computer or natural sciences to develop modern technologies for collection-based research with a focus
-
such as ecology, economy and social sciences. ZMT aims to use data science tools, including computer vision and deep learning, for the study of rapid changes in tropical coastal socioecological systems
-
enrolled in a Master’s program in plant sciences, crop science, plant breeding, or a related field. You are interested in fieldwork and data collection. Knowledge or experience with data analysis is an asset
-
samples, molecular biology analysis of blood cells Cell culture experiments with primary human cells Evaluation of results, including rhythm analysis in time series and omics data Preparation
-
analysis, visualization, and training Participation in the central research data management of the IAT according to open science and FAIR principles Promotion of open science and research data management
-
Science principles. Through programming, consulting, and training, the working group provides flexible support for scientific work in model simulations and data analyses on social and natural science issues