22 sports-science "Durham University " research jobs at Helmholtz in Germany

Postdoctoral Researcher – Plant Systems Biology

Your Job: Analysis and integration of diverse biological data from the field of plant sciences (next generation sequencing, large scale genomic, transcriptomic, proteomic, metabolomic and phenotypic

Postdoc - Machine learning / Artificial Intelligence and big data science in the field of synchrotron research

. The current project deals with the use of machine learning / artificial intelligence and big data science in the field of synchrotron research. Development and application of machine learning / artificial

Postdoc - Digital Transformation for Renewable Energy Systems

engineering management to advance the integration and optimization of renewable energy technologies, from hydrogen and battery systems to broader renewable sources. The project`s goal is to facilitate open

PostDoc - Coarse grained modeling of synthetic enzyme cascades

the Institute of Physical Chemistry in Warsaw and Stuttgart University. Your Profile: You are an enthusiastic and motivated researcher You have a Masters degree and a PhD in physics, chemistry, engineering or

Research assistant in the field of "Ethics of Brain Age Prediction"

research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work Comprehensive training courses and individual opportunities for personal

Research assistant for scientific consulting in the field of machine learning

Your Job: You will support IAS-9`s data science and machine learning activities, working in a multidisciplinary team of enthusiastic data scientists, software developers, and domain scientists. Your

Postdoc – Molecular and bioinformatic-based identification of optimized enzymes for biotechnological applications

colleagues and pursuing sports alongside work Outstanding scientific and technical infrastructure Creative and international team that conducts research at the frontiers of science The Forschungszentrum Jülich

Postdoc for Quantum Computing - Algorithms, Benchmarking and Simulations

Your Job: Developing and implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC Advancing

Postdoc - Modelling of superconducting qubit circuits with machine learning techniques

are a strong motivation for original research, self-initiative, and a collaborative approach. Your Profile: Masters and subsequent Ph.D. degree in theoretical Physics/Electrical Engineering, Mathematics

Postdoc - Development of scalable superconducting quantum systems

, and characterization Develop gate implementations, benchmarking and algorithms Work on the interdisciplinary challenges in systems engineering Install and improve experimental setups and fabrication