97 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" PhD positions in Germany
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international conferences. This can provide opportunities for networking and learning from other researchers in your field. Extracurricular Seminars and Trainings The in-house umbrella organisation INGENIUM
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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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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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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 25 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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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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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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. 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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. You are interested in learning about new, data-based options at the interface of qualitative and quantitative research (including Big Data) and, based on this, in formulating policy recommendations and
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sector pay agreement (TVöD EG 13; after interim evaluation TVöD EG 14). The successful candidate will have the opportunity to pursue a habilitation and to teach at the International Max Planck Research
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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