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Field
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: Research Assistant (m/f/d), Post-Doc, EG 13 TV-H, fixed term-position, part-time (currently 32 hours per week) Evaluation of transdisciplinary processes for sustainability transformations Part time position
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to 5 and more years. Requirements: • You have a PhD degree (or postgraduate degree MSc) in a computational discipline, preferably with significant experience in Bioinformatics or Computational Biology
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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, bright individuals with a diploma or master’s degree in bioinformatics, biochemistry, biology, molecular/translational medicine or related subjects and a PhD in life and computer sciences. Previous
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on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training and optimizing the execution User support in
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projects Integrate into the research team and provide support for junior members and students Your profile Solid experience in cell biology and experimental laboratory work Expertise in bioinformatic
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. The project forms part of the multi-disciplinary SoilSystems Priority Program, involving 16 collaborating research institutions across Germany. Your tasks: Bioinformatic analysis of long- and short-read
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Announcement for fields of study such as: Automation technology, software engineering, computer engineering or comparable. Fraunhofer IPA is an institute for Manufacturing Engineering and Automation
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regulation of cellular processes such as translation, protein folding, cytoskeletal dynamics and cell differentiation. Recently, a new class of regulatory switches (C-switches) was discovered that use
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken