مهندس خدمات میدانی-کد اپلای 276800

Field Service Engineer

Education and/or Work Experience Requirements

  • Bachelor’s degree in Life Sciences, Chemistry, Engineering or equivalent technical education
  • Prior experience using and/or servicing mass spectrometry or scientific instruments is of advantage

Additional Requirements:

  • Working knowledge of troubleshooting and problem-solving procedures
  • Effective communication skills both written and verbal
  • Works independently and as part of a team
  • Promotes commercialization of SCIEX products
  • Working knowledge of electrical and electro-mechanical technology
  • Exposed to moving parts and electricity that require safety protocols
  • Exposure to varied travel conditions either driving or flying
  • Travel required / valid driver’s license
  • Travel by vehicle or airplane within assigned geography, up to 25%; overnight travel may be required
  • Good English and German language skills
  • We also welcome job beginners

Primary Responsibilities

  • Completes and successfully passes assigned training tasks on assigned products and responsibilities
  • Working knowledge of Sciex and OEM products
  • Performs high-quality installation, repair and maintenance on mass spec instruments
  • Assigned and responsible for customer satisfaction at strategic accounts
  • Performs IQ/OQ and other qualification products. Includes on-site customer training
  • Performs HPLC installation and maintenance
  • Performs preventive maintenance on OEM products
  • Demonstrates and completes all administration duties
  • Maintains own tool and parts inventory to ensure adequate supply

تحلیلگر داده ها برای پردازش اطلاعات علمی-کد اپلای 276801

Data Analyst for Processing of Scientific Information

Job requirements

  • Post-doctoral experience and college degree with advanced degree in the specific subject area.
  • Experience as an editor or related editorial/publishing experience highly desirable.
  • Excellent interpersonal, organizational, and communication skills required.
  • Must be willing and able to travel (but in line with COVID-19 travel restrictions).

Your Tasks

  • Data extraction from scientific publications
  • Entry of scientific data into a database
  • Analyses with increasing level of complexity, using specific work tools
  • Further development of different internal databanks

سردبیر ارشد، بیوتکنولوژی طبیعت-کد اپلای 276802

(Senior) Associate Editor, Nature Biotechnology

Your Profile

  • Bachelor’s degree in a field of the life sciences (e.g. Biology, Biotechnology or equivalent)
    or
    Medical/biological technical assistant (e.g. MTA, BTA or equivalent)
  • Excellent skills in Microsoft Office
  • Medium to broad experience in database development and programming (Microsoft Access, SQL, Python; HTML would be desirable)
  • Great to excellent command of the English and German languages in writing and speaking
  • Very good organizational skills and analytic, systematic, structured work approach
  • Interested in working within a scientific environment
  • Highly motivated to perform the set tasks and to improve your skills
  • Marked teamwork abilities

Job duties

  • Pursues an active and efficient acquisitions policy through correspondence, required meetings/trips, telephone, consultations with advisors, etc. Approximately 20%-40% travel as well as strong initiative and independent functioning.
  • Prepares and executes publishing contracts in regard to US product.
  • Maintains and develops a circle of reviewers and advisors and evaluates their judgments.
  • Maintains communication with US and European editorial counterparts about specific immediate questions as well as long term strategy questions. Works with various branches in coordination of the international program.
  • Supervises final editorial preparation of manuscripts for production.
  • Reviews and discusses new projects and plans with editorial colleagues particularly in overlapping areas.
  • Any other duties as required by manager.

دانشمند – طراحی و شبیه سازی نوری-کد اپلای 276803

Scientist – Optical Design and Simulation

You have

  • a PhD in physics or mathematics
  • very good knowledge in Optics and Optical Design
  • experience in design and simulation of optical systems with CODE V, Zemax, OpTaliX, FRED
  • a creative and goal-oriented approach and the desire to find solutions to complex problems
  • very good English skills for daily discussions with our colleagues and customers

Your role

You will work on the optical design and the simulation of complex optical systems for AR and VR data glasses and actively contribute to the success of tooz technologies. In this role, you will analyze, design and optimize optical systems (e.g. stray light, environmental influences, sensitivity analysis and tolerance budget) in consideration of manufacturing and metrology aspects. You will examine the influences of manufacturing tolerances on the optical performance and develop corresponding optimization suggestions. You will advise and support the development of measurement technology with the simulations that you have created.

دانشمند پژوهش و شبیه سازی و یادگیری ماشین-کد اپلای 276804

Simulation and Machine Learning Research Scientist

You have

  • a strong theoretical background with a PhD in Mathematics, Physics, Computer Science or similar
  • a deep understanding of physical optics and machine learning as well as the ability to quickly grasp and discuss ideas in these areas
  • practical state-of-the-art knowledge on neural networks, synthetic data generation, and machine learning based simulation techniques
  • excellent programming skills in Python, Matlab, or C++ and you are familiar with toolkits such as OpenGL and Tensorflow
  • preferably parallelization skills (CUDA, OpenCL, OpenMP)
  • an innovative and decidedly hands-on mindset: you love to work on hard problems

You want to pioneer?

In current machine learning applications the physical basis of optical imaging is hardly taken into account and one is often limited by the amount of available training data. In current optical development processes machine learning based methods play only a minor role. Your role is to change that. Integrated in a team you will advance ideas from academic stages to industrial product development. This comprises conceptional work and taking the initiative as well as implementing virtual prototypes and evaluating their performance. During your work you will build an excellent network with us in both academia and industry that will help us to leverage the latest technology advancements in order to address tomorrow’s challenges.