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Field
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, multi-component molecular chaperone machines and the question how membrane protein chaperones recognize and process clients on a molecular level. The project has the potential to provide exciting new
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THE FIELDS OF: ATMOSPHERIC PHYSICS AND CHEMISTRY, ELECTROCHEMISTRY, ELECTROCHEMICAL ENERGY STORAGE (BATTERIES), ELECTRONICS, ELECTRICAL AND MECHANICAL ENGINEERING, HIGH-PERFORMANCE COMPUTING, MACHINE LEARNING
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 13 days ago
fundamental physical mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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sciences or similar Strong interest in single-cell nucleus RNA-seq techniques / Perturb-Seq / Crop-Seq Willingness to learn computational biology/bioinformatics High motivation for scientific work and
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(Learning, Educational Achievement, and Life Course Development) to design and conduct studies. What We Expect from You We are looking for a candidate with a strong academic background and a keen interest in
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. This system allows us to investigate and control microbial interactions across physically separated yet metabolically connected communities. PhD position 2: Teach anaerobes to survive a breath of air. You will
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methods are a plus High degree of motivation, willingness to learn and team spirit Strong sense of responsibility, organisational skills, high reliability and flexibility Good written and oral
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courses in HDS domains to learn advanced health data sciences methods that they will later apply in a practical research setting for their individual research projects. Research: Interactive seminars and
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the life sciences and related disciplines (e.g. biomedical sciences, biology, biochemistry, physics, chemistry, psychology, computer sciences, engineering) Acceptance by an authorised academic supervisor