6 data scientist English-speaking jobs in Erlangen

  • Jobspreader
  • Erlangen
  • September 11
Your Tasks Research Your Profile Educational Background: Ideally, you hold a master’s degree in bio-/physics, theoretical/computational chemistry, life sciences, or a related field. Interdisciplinary Interest: Strong passion for interdisciplinary projects and collaboration with medical and immunology groups. Communication Skills: High proficiency in English and effective communication skills.
  • Jobspreader
  • Erlangen
  • September 9
The Computational Biology group offers Ihre Aufgaben Unlock the Secrets of Cell Membranes - Join Our Research Team at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany About Us: We are seeking an enthusiastic candidate for a Ph. D. position in our lab specializing in cutting-edge theoretical and computational membrane biophysics.
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Erlangen, , Germany
  • September 11
Your Tasks Research Your Profile Educational Background: Ideally, you hold a master’s degree in bio-/physics, theoretical/computational chemistry, life sciences, or a related field. Interdisciplinary Interest: Strong passion for interdisciplinary projects and collaboration with medical and immunology groups. Communication Skills: High proficiency in English and effective communication skills.
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Erlangen, , Germany
  • September 5
The Computational Biology group offers Ihre Aufgaben Unlock the Secrets of Cell Membranes - Join Our Research Team at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany About Us: We are seeking an enthusiastic candidate for a Ph. D. position in our lab specializing in cutting-edge theoretical and computational membrane biophysics.
  • StepStone
  • Erlangen
  • September 13
system abuse, applying first-principles reasoning to assess unusual activity by using evidence and data
  • StepStone
  • Erlangen
  • September 13
system abuse, applying first-principles reasoning to assess unusual activity by using evidence and data
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