159 parallel-and-distributed-computing-phd-"Multiple" positions at Leibniz in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
for Digital Twins for different agricultural and biorefinery processes Acquisition of third-party funding projects Promotion of bachelor, master and PhD thesis Preparing and publishing research findings in peer
-
development of compelling research proposals to secure external funding Plan, manage and execute internal and external project events, workshops and meetings Mentor and guide junior researchers, PhD candidates
-
) 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
-
industrial partner and support the overall scientific goals of the project. YOUR PROFILE PhD degree in chemistry, materials science, energy materials, or a related field. Experience with lithium-ion batteries
-
E14 (TV-L). The department Human and Animal Cell Lines conducts research with cell lines and hosts the DSMZ open cell lines collection. This includes quality controls and distribution of cell lines
-
: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
-
, behavioral, experimental and/or applied microeconomics or other related fields, and you have completed your PhD by job start or are close to completing it. You have already proven your relevant knowledge and
-
and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
-
providing the developed methods and standards are strategic goals of the DPZ and the Göttingen Campus. The Candidate ideally fulfills the following requirements: PhD (or equivalent) in data science
-
databases (e.g. Scopus, Web of Science); Identify, screen, and select relevant academic and policy literature; Extract, code, and standardize data from selected studies; Manage and organize data from multiple