Aktuelle Jobs im Zusammenhang mit Geochemical Data Scientist - Potsdam, Brandenburg - Helmholtz Centre Potsdam
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Data Scientist Intern
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Data Scientist Intern
vor 4 Wochen
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Research Scientist
Vor 4 Tagen
Potsdam, Brandenburg, Deutschland Helmholtz Centre Potsdam VollzeitJob Description We are seeking a highly motivated Research Scientist to contribute to our project focused on understanding and quantifying mechanisms of carbon fixation, stabilization, transformation, and mobilization in fluvial systems. Key Responsibilities: Perform sedimentological, geomorphological, organic, and inorganic geochemical analyses on fluvial...
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Research Scientist
Vor 7 Tagen
Potsdam, Brandenburg, Deutschland Helmholtz Centre Potsdam VollzeitAbout the PositionWe are seeking a highly skilled Research Scientist to join our team at the Helmholtz Centre Potsdam. The successful candidate will be responsible for developing and validating AI models for GNSS reflectometry data processing, with a focus on meteorological applications.ResponsibilitiesDevelop AI models for GNSS reflectometry data...
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Research Scientist
vor 4 Wochen
Potsdam, Brandenburg, Deutschland Helmholtz Centre Potsdam VollzeitJob OpportunityWe are seeking a highly skilled Research Scientist to join our team at the Helmholtz Centre Potsdam. The successful candidate will be responsible for developing AI models for GNSS reflectometry data processing, validating these models using data from independent techniques, and supporting the operational application of GNSS reflectometry based...
Geochemical Data Scientist
vor 3 Monaten
We are seeking a dedicated Data Scientist to join our team at the Helmholtz Centre Potsdam. This role focuses on the analysis and application of extensive FT-ICR-MS datasets to enhance our understanding of organic molecules throughout Earth's history.
The research conducted in Section 3.2 aims to unravel complex organic inventories found in various environments, sediments, and ancient rocks, which are crucial for comprehending the global carbon cycle, climate change, and evolutionary geobiology. Utilizing high-resolution mass spectrometry (HRMS) techniques, such as FT-ICR-MS and Orbitrap-MS, we strive to extract valuable insights from intricate datasets.
Key Responsibilities:
- Implementing machine learning methodologies to analyze HRMS data, identifying patterns that reveal significant information regarding organic molecules, their biological origins, and environmental interactions.
- Automating existing HRMS data processing pipelines to enhance efficiency.
- Creating a user-friendly, interactive database that consolidates diverse data types collected over the past two decades.
Required Qualifications:
- A Master's degree or equivalent in natural sciences, computer science, or data science.
- Proven experience in data science and machine learning applications.
- Proficient programming skills in Python or R.
- A creative mindset with the ability to think outside the box.
- High adaptability and openness to new ideas.
- Prior experience with machine learning applications in HRMS data is a plus.
- A background in Geosciences is advantageous.
- Proficiency in English is essential.
What We Offer:
- Engaging and diverse tasks within a dynamic, international research setting.
- Access to cutting-edge research equipment.
- Comprehensive public service benefits.
- Opportunities for extensive training and professional development.
- Career guidance through our in-house Career Centre.
- Flexible working hours and conditions to support work-life balance.
- On-site childcare facilities.
- A collaborative work environment at a prestigious science park.
Employment Details:
- This is a full-time position, with part-time options available.
- The role is classified under salary group 13 according to applicable agreements.
If you are passionate about data science and eager to contribute to impactful research, we encourage you to consider this opportunity.
