95 web-programmer-developer-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
with the analysis of mRNA transcriptomic data sets, in particular with single-cell RNA-seq data analysis pipelines (Seurat, Scanpy). • You are a highly motivated scientist with the drive to develop
-
) for performing fundamental research in the frame of the project DrawOn funded by the Bavarian State Ministry for Economic Affairs, Regional Development and Energy. The candidate has the opportunity to pursue a
-
qualification program for PhD students containing excellent multidisciplinary training with tailor-made subject-based and soft skills courses, annual retreats, summer school, and a supervision concept. More
-
or similar. You will work together with the RAISE AGRICULTURE and TUM Precision Agriculture Lab to develop an agricultural drone servicing system. You will be awarded the EXIST Start-up Grant for one year
-
, Metric Learning, Reinforcement Learning, Graph Representation Learning, Generative Models, Domain Adaptation, etc.) for Design Automation applications. To this end, we focus on developing general methods
-
own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal of the project is to develop and apply bioinformatic tools for the analysis
-
explores biotechnological solutions to the environmental, ethical, and sustainability challenges of conventional animal agriculture. Our research focus is the development of alternative proteins for food
-
looking for a Post-doctoral researcher to investigate the regulation and dynamics of CD8 T cell immunity and identify mechanisms or pathways that will decide whether an HBV infection will develop into acute
-
technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to push the
-
to create a holistic picture. Such additional information can improve the performance, help to reveal biases, or may enable to perform causal inference. We are interested in developing statistical models and