Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
experience in writing scientific publications, project proposals, and statements Ability to work in an interdisciplinary field and to communicate between different scientific disciplines High degree
-
different scientific disciplines High degree of initiative, willingness to cooperate, excellent communication and teamwork skills in an interdisciplinary and international environment Fluent spoken and
-
(Sondertatbestand), ZMT is strengthening its capacities in the field of modelling and adding predictive aspects to its existing research programmes. The institute’s five Programme Areas (PAs) are interdisciplinary
-
Responsibilities: Planning a study to investigate cakes with different ingredient ratios, including baking the cakes Planning and conducting in vitro digestion experiments in the laboratory Preparing samples
-
this knowledge gap and establish improved GHG models accounting for soil invertebrates. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental
-
across five departments—Physical Oceanography, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations—in an interdisciplinary framework as part of a joint research program
-
diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
-
years (with possible extension). YOUR TASKS Synthesis of lithium-ion batteries with different composition and conductive additives. Build and characterize lithium-ion batteries for industrial application
-
) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
-
for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will