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+ benefits Closing date: rolling basis Goals & Expected Impact “Promoting human health through early diagnosis of degenerative brain disorders” Revolutionise early diagnosis and prediction of neurodegenerative
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 25 days ago
allows for up to 20% additional employment, preferably teaching-related. Additional yearly funds: SEK 100,000 for mandatory health, accident, pension, and survivor insurance. Expenses support: SEK 50,000
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will benefit from our family-friendly and collegial atmosphere, our established health management and occupational pension provision. As a public funded employer, we offer you a secure workplace and
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interdisciplinary, and together we contribute to science and society. Your role Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging
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on Computer Science and Engineering, Telecommunication Engineering, Applied Mathematics or Statistics with application or specialization in Data Science. Experience and skills Required experience and skills: Extensive
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the mobility, housing, energy and health sectors. The unit pursues funding and carries out research through industrial contracts and competitive projects sponsored at the Luxembourgish and European levels and is
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Qualifications MINIMUM QUALIFICATIONS: PhD (or equivalent) in biology, bioengineering, computer science, physics, or a related field Strong scientific curiosity, motivation, and rigor Strong communication
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your