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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 11 days ago
and fUSI studies, including data analysis (e.g., Afni, Matlab, Python), MRI physics & sequence development, rodent handling, behavioral experiments and surgery. Our mission is to build a supportive and
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tasks Development and implementation of behavioral protocols Analysis of imaging data Programming analysis tools (Python/Matlab) Associated activities: Participation in team meetings and seminars
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - A PhD in mathematics/statistics/AI applied to ecological issues. - A strong publication record. - Proficiency in R and Python
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engineering, or closely related fields Excellent skills in development of complex optical systems Experience in optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python
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); • Intermediate/advanced knowledge of R and Python for genomic analysis; • Fluency in English for oral and written academic communication. Scholarship: R$ 12,570.00 per month + 10% Technical Reserve (according
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describe the neuronal and behavioral changes associated with pharmacological manipulations, through the development of scripts using software such as Python or Matlab. 1) Conduct electrophysiology
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, or a related field, with demonstrated experience in quantitative ecological modelling, community or population dynamics, and strong analytical and programming skills (R or Python). How to apply
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, and similar equipment. Proficiency in Python programming including ability to install and use spiking neural network simulators such as SNNTorch, NEST, Nengo, etc. Experience with semiconductor memory
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courses and mentoring students in research Experience in writing and publishing research articles, including for general scientific audiences Strong coding skills, preferably in Python Familiarity with
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for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C